Statistical analysis jobs work from home

19 Statistics on Remote Work from Home Jobs

We have lots of data organised in different databases on different platforms and in different formats. See more jobs at Zapier. Playing a lead role in data analysis within international banking. In addition to being an integral player in the red hot data science, machine learning and big data fields, we also provide critically needed work and income to millions of micro-tasking workers around the world. Yes, you can do data analysis from home, given that you already have the credentials, and in addition to previous answerers:. Senior Data Scientist, Newsfeed Doximity data science healthcare senior.

92 Statistical Analysis jobs available in Work at Home on Apply to Senior Programmer, Research Consultant, Program Analyst and more!

This month

Generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan Sponsored - save job. Senior Statistical Programmer Meet Recruitment 6 reviews. As a Senior Biostatistician, you provide oversight for statistical pieces of design and analysis of clinical trials Reviews billing reports and statistical data looking for trends and patterns. Provides feedback and guidance on requested changes and performs impact analysis Microsoft Office Project Management Methodology.

Billing Coordinator salaries in Remote Learn more about working at Natera Natera questions about work, benefits, interviews and hiring process: Do natera employees get paid weekly or bi weekly How do you feel about going to work each day? Research Analyst McChrystal Group. Conduct network analysis modeling. Ability to work effectively with cross-tabulation and statistical testing for data mining large datasets Research Analyst salaries in Remote Related forums: Research Analyst - McChrystal Group.

Our support services include statistical data analysis , compliance audit, investigation, medical review, and software solutions View all Integrity Management Services, Inc. Junior Auditor salaries in Remote Related forums: Forecasting Operations Manager Amazon Philips 2, reviews. Conduct forecast accuracy reconciliation analysis; Strong proficiency in analytical tools including Excel, JDA, Tableau and statistical software Forecasting Manager salaries in Home Based Learn more about working at Philips Philips questions about work, benefits, interviews and hiring process: Why did you leave your job at Philips?

What would you suggest Philips management do to prevent others from leav Familiarity with statistical sampling. Utilizes results of analysis to suggest continuous improvement opportunities Quality Auditor salaries in Work at Home Learn more about working at Cigna Cigna questions about work, benefits, interviews and hiring process: How are the working hours?

Does Cigna offer work from home options? The North West Company. Nci Information Systems, Inc. On average, how many hours do you work a day? How do you feel about going to work each day? Possess an understanding of experiment design including DOE design with JMP or Minitab and basic knowledge of process control and process statistical analysis See more jobs at Hakka Labs.

See more jobs at Thinkful. See more jobs at Hatch IT. See more jobs at Financialforce. See more jobs at Experian. See more jobs at Staywell. See more jobs at Peopledoc. See more jobs at EY Switzerland. See more jobs at Adroll. See more jobs at Redelastic. See more jobs at Rainforest. See more jobs at Wikimedia Foundation.

See more jobs at Sandvik Machining Solutions. See more jobs at Mixtiles. See more jobs at RTB House. See more jobs at Nelio. See more jobs at Zylab. See more jobs at Medsec. See more jobs at Inmar.

See more jobs at Achievement Network. See more jobs at Semanticbits. See more jobs at Paktor Labs. See more jobs at Toptal. See more jobs at Zapier. See more jobs at Elastic. See more jobs at Rxspeed. See more jobs at Automattic. See more jobs at Wallethub. See more jobs at Loci. See more jobs at Divergent Strategies. See more jobs at Lynda. See more jobs at Autoloop.

See more jobs at Datarobot. See more jobs at Totvs Labs. See more jobs at Github. See more jobs at Luxia. See more jobs at Dufossat. See more jobs at Stubhub. See more jobs at Jetsmarter. See more jobs at Zocdoc. See more jobs at Rocket Internet SE. See more jobs at Redowl.

See more jobs at Popsugar. See more jobs at Seven Bridges Genomics. See more jobs at Visionmobile. See more jobs at Gfk SE. See more jobs at Spatially. See more jobs at Clutch Holdings. See more jobs at Crowdflower. See more jobs at Simons Foundation.

See more jobs at Hugo. See more jobs at Simply Business. See more jobs at Selerity. See more jobs at Autonomy Engine. See more jobs at Ecohealth Alliance. See more jobs at Clevertech. See more jobs at Marin Software. See more jobs at Flying Software Labs. Visit Flying Software Labs 's website. See more jobs at Book A Boat. See more jobs at Vision Solutions. Visit Vision Solutions 's website.

See more jobs at Ookla. See more jobs at Medbravo. Post a job on the biggest remote jobs board by traffic on the internet. These are people looking for jobs they can do from anywhere. If that's what your company offers, you're in the right place. Press the button below to post it! No worries, after posting you'll get a link where you can always come back and edit or delete it! Remote Data Science Jobs. Are you hiring for a remote Data Science position?

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients. We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.

Our data analytics team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds. Joining Doximity means being part of an incredibly talented and humble team. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Millions of people experience real-life adventures with our apps. We help users all over the world discover the best hiking and biking routes, working to empower everybody to explore more of the great outdoors. Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.

We believe that data-driven decision making is key to our success and your skills and curiosity will play a crucial role in building the future of outdoor experiences. Doing something creative with komoot we love it when people go the extra mile Location: How do you apply? Please apply with a cover letter and resume through our website. Then send us the following: Doing something creative with komoot we love it when people go the extra mile See more jobs at Komoot. Work hard, and take responsibility for your own freedom.

Self-motivated, research-focused, and a smart thinker with experience in dealing with backend engineering and data at scale This role is not a mid-level position. Remote US only What you'll do: Please keep in mind that applicants can be declined from the position at any stage of the process.

The technical interview can be split between a technical discussion and a technical test. This is a full time position - No Contractor We are looking for someone who matches our level of joy for the work we do, fits in well with our team, and elevates our game.

A sense of humor, a lack of ego, and a desire to do great work is essential. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth.

We recently launched a newsfeed which helps physicians navigate the latest practice-changing medical literature, parsing through millions of scientific studies while personalizing content to their patient base and every stage of their medical career. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We currently are looking for a data scientist to lead a team of other data scientists, data engineers and data analysts with the goal of utilizing this medical graph to better connect and promote discussion among our clinician members.

Our engineering team is deliberate and self-reflective about the kind of team and culture that we are building, seeking engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth.

Our team brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand. We deploy our applications to production on average 50 times per day and have over private repositories in Github, ranging from forks of gems, our own internal gems as well as auxiliary applications. Check out more on the Doximity engineering blog. The ability to formulate, implement, and test your ideas quickly is crucial.

Help independent creators make a living doing what they love! Every day, thousands of customers use Creative Market to buy ready-to-use design content fonts, graphics, templates, website themes, 3d models, etc directly from top designers around the world. Join the team to help us continue our meteoric growth, and your work will be used by millions of people every month. You'll work directly with our Elasticsearch infrastructure in Amazon AWS and iterate on our machine learning and data science pipelines.

We are looking for experienced individuals who are passionate about data science and enjoy working in a collaborative environment. You will get the chance to work with one of the most advanced and comprehensive web crawling and scraping infrastructures in the world, leveraging massive data sets with cutting edge technology. Due to business requirements, only candidates based in Ireland will be considered.

You will work on the analysis and visualisation of earth observation data. Our projects focus on environmental problems - such as flood disaster response, tackling illegal deforestation, and peatland protection - and are carried out in collaboration with international partners, including the UK and European Space Agencies, NGOs, and governments across the globe.

We need you to help us create products that put the power of earth observation into the hands of our users. You will be part of a team of data scientists and work closely with software developers, designers, and business developers.

The data team works primarily with Python and its open-source ecosystem of geospatial and data science libraries, free and commercial satellite imagery, and ground observations provided by third-parties. This position is for a full-time permanent position at our office located near Edinburgh. The candidate must be eligible to work in the UK. They will then be asked to take part in a data analysis and coding test before moving forward to a more formal get together with some of our team.

Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. See more jobs at Doximity Visit Doximity 's website.

We have lots of data organised in different databases on different platforms and in different formats. We need someone that can wrap their head around our data and likes working on different pieces of analysis. Toronto or Grand Cayman are the options Responsibilities: Who will convert into a paying customer? What makes users post in our forums? Can we predict churn rates? What happens if we change X? Uber analytical SQL experience, even better: Remote working experience Who we are: With over 1, websites attracting more than million monthly unique visitors, Toronto-based VerticalScope is one of the largest and fastest growing online publishers in North America.

Send a brief email to data verticalscope. We need someone that is super interested in financial data and can build out time series models of how our expenditure and revenue will evolve. How do our acquisitions perform? Which acquisition will be the next superstar? What should our budget be? As a Product Manager at CROmetrics, you will be a hybrid product manager, strategic thinker, account manager and data analyst. Your primary role is to partner with our clients to improve their websites through data-driven experimentation and personalization.

A Product Manager spends much of their time interfacing with clients, designers and engineers. On the client side, the PM must be able to generate data-driven ideas that will improve revenue and other key metrics on client websites. We are spread out all over the country and enjoy the flexibility remote working affords. Want to go on a mountain bike ride in the middle of the day? Need to pick the kids up from school? We stay connected through Slack and workcations, including one annual trip that is funded by the company.

That makes communication — including writing and reading comprehension — extremely important. Successful applicants enjoy the process of defining and clarifying specs, documenting processes, improving processes, seeing their ideas and work affect millions of users, and uploading custom emoji to Slack. The PM is a client-facing role. This type of interaction is not for everyone, and we completely understand.

A the core of experimentation is the lesson to be learned from the test, whether a win, loss or inconclusive. We extend this concept to everything we do by setting the bar high for our team and fostering an environment of radical candor and constant learning. This short essay sums up the philosophy we operate by: Sound like something you are interested in? See more jobs at Crometrics Visit Crometrics 's website. We have a fairly unusual hiring process, but it has proven to work well both for us and for potential new hires.

We have found that demonstrating basic competency is the best predictor of initial qualification for working with us, followed by actual work. Our process reflects that. Create A Work Sample The following is a typical task you would be doing on a daily basis. Follow the steps below to see if this type of work interests you and is a good fit.

We want to know how you think about designing elegant product solutions focused around increasing conversions. Here is the website for one of our clients: Hired spends a lot of money e. Your first task is to come up with a hypothesis backlog of at least ideas you have for improving conversions for the Hired.

An example of a hypothesis is: Write a spec for your chosen idea comprised of the user story, any supporting data, expected user or page interactions, engineering notes, etc. Just be sure to submit your spec as an image so anyone can view it without special software.

In the email, include the following: This can be done on the side of your current full-time job so there is less risk to you. If both parties like working together, we expand the relationship based on the type of position you desire. Either more hours as a part-time contractor, or becoming a full-time W-2 employee.

We look forward to hearing from you! We also love to use cutting edge technologies to make developer life enjoyable and more productive. The ideal candidate which means you, right? Gulp, Grunt, Browserify, Webpack. Desired qualifications include experience with: Clearly communicate complex technical and product issues to non-technical team members, clients, etc. What it's like Last year, we had a blast.

Being in a USA timezone is highly desirable. Human Environment - Centrally located in downtown Houston, free employee parking. Producing is more important than meeting a 9 to 5 schedule. We understand there are moments when you need to isolate yourself to concentrate so working from home is permitted and encouraged. We work hard and meet realistic deadlines. What good is delivering a poor product early? Please send a resume to mcomardo highereducation.

We run online, self-paced Data Science workshops where participants learn with the help of a curated curriculum and guidance from an expert mentor. Our mentor community - the biggest strength of our programs - has some of the best experts from the field.

If you are as passionate about mentoring as you are about Data Science, and can give a few hours per week in return for an honorarium, we would love to hear from you.

Please find more details about the program below. We want to employ confident, seasoned researchers who can efficiently track down the highest quality resources across the Web and explain the results to our users in a personable, human way. The best researchers will have a wide breadth of knowledge and specific expertise in several subjects, with an equal penchant for diving into uncharted territory and swiftly becoming an authority.

Because many of our users depend on hard data to make decisions, quantitative proficiency is preferred. You not only know how to extract and validate hard stats, but can calculate some of your own on the fly if need be. Previous experience working in a research-intensive role is a definite plus, though not required. Most of all, our researchers are all problem solvers with a sense of imagination that helps them dig deep and find meaningful intelligence.

Here are some example questions our clients ask us: Did they serve as a peacekeeping force? The position can be at our headquarter in Fulda, Germany or full-time remote.

The team you will join is mostly remote with members spread across the globe. Our data covers performance data, geo data and diagnostic event data. We work with real machines with strong cases. Your role will mainly include the following tasks: Project for a big retail corporation in Norway 11k employees with stores across entire Europe. A rare opportunity to hone not only the technical expertise or English skills, but also business-oriented communication, industry-related, practical business know-how and system design skills.

Less experienced folks are also welcome to apply - we need many people. Apsara Capital is the only investment firm in the UK focusing exclusively on the water sector. We are a small team with decades of expertise in business development, company analysis, statistics, and quantitative investment strategies.

The candidate's main responsibilities will be to build our data infrastructure, as well as identify, structure, and analyse economic, industrial, and other data. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems. Hakka Labs is looking for a Head of Marketing to be responsible for all marketing efforts across the Hakka Labs network internationally.

Our flagship event is [DataEngConf] http: You will be responsible for all branding, design, campaign development and execution, and community building aspects of our business.

You will recommend adjustments to our current formula, test your own distribution hypotheses and experiments, and invest in the winners for maximum growth. You will design the systems and processes our team will implement to scale marketing, while building out more comprehensive analytics capabilities that drive a deeper understanding of our unit economics.

We also strongly advocate the customer development model of the lean startup approach - our team is constantly exploring and testing ways to bring more value to our users. Our marketing and community building efforts are driven by a close connection to our customers. We use systems and design thinking to come up with new ways to solve challenging problems globally, not simply use the tired, old playbook of basic event marketing techniques.

Our network is our prime asset, and our community is made up of data engineers and scientists from every major tech company, as well as many influential startups backed by YC, TechStars Startups and top VCs. Data technologies are rapidly changing the world, and our community is at the epicenter of the hottest technical advancements and research in machine learning, computer vision, artificial intelligence, neural networks and deep learning.

These technologies are literally transforming industries while simultaneously creating new opportunities and defining our future. Please tell us a little bit about yourself via the application button below.

Sie wollen eigenverantwortlich arbeiten und Ihre Ideen umsetzen? Sie arbeiten gerne mit Spezialisten aus verschiedenen Disziplinen in einem Team zusammen.

Sie haben eine favorisierte Programmiersprache z. Halten Sie an ihnen fest und verwirklichen Sie Ihre Ziele mit uns! See more jobs at EY. This year, we have an exciting road ahead through the combined data collected from cohorts of students, feedback from our pool of mentors and the continued analysis of the shape of the opportunities that our graduates fill. As the Data Scientist in Residence, you will guide our education team through the ever-changing landscape of the industry, help with defining our roadmap of investments to make, explore areas of research to pursue and propose curriculum partnerships to establish.

This position reports to the Head of Programs. Given the varied responsibilities that this role may be involved with, your background should include a broad understanding of current trends and data science, industry leadership, data science management or student education; these will all be equally applicable and lend themselves well to the needs of our student body.

This position works closely with the Head of Programs, Head of Curriculum and their respective teams to shape the direction of our existing and future programs and consults with the career services team to continually adjust the evaluation guidelines so that they align with future job markets and company needs. Ideally, you want to work in Brooklyn or San Francisco, but can be successful in this role from anywhere in the world. Does this describe you?. We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. THE ROLE Design and development of models from analytics built on customers' user behaviour data FinancialForce and 3rd party data to deliver the highest possible quality functionality that will enable our customers to be successful.

Ranging a focus on delivery of general users' analytics to high-end analytics and modelling responsibility across broader functions of our products. Will be able to visualise Analytics and Modelling in a way which enables broad user understanding.

This person would execute analytical engagements for Experian clients, primarily involving analysis for account acquisition, applicant decisioning, and account management. Position can be on-site or remote. Operating at the center of Big Data since before the phrase was coined, few companies can offer information services on the same scale. We support clients in over 80 countries and employ 17, people in 37 countries.

Experian offers flexible benefits and compensation packages that allow our employees to make choices that fit their individual lifestyles. Some of our benefits include: Anyone needing accommodation to complete the interview process should notify the talent acquisition partner.

The word "Experian" is a registered trademark in the EU and other countries and is owned by Experian Ltd. We are looking for a Senior Data Scientist who will support our technology, product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at creating, consolidating and using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

Additionally, the candidate will lead a team of administrators and analysts to create and streamline data creation, retrieval and reporting goals. They must have a proven ability to drive business results with their data-based insights.

The candidate is also adept at creating corporate wide reporting and analysis using any and all telemetry data available. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. R, Python, SLQ, etc. Redshift, S3, Spark, DigitalOcean, etc. Periscope, Business Objects, D3, ggplot, etc.

Data being at the center of our mission, our Data Team is looking to improve and innovate our data management practices and tools to bring added value to our client and develop our Data analytics solution. The successful candidate will be required to: The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over.

We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http: We offer our customers all over the world seamless, consistent and high quality services.

Finance Advisory Services provides professional advisory services to our financial services clients across the breadth of their Finance function.

Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. Doreen Schwarz is looking forward to receiving your application Do the next step and apply for this position online. For further information please contact our recruitment team Recruitment.

This is not a project where you will inherit a sprawling legacy code base that will tie your hands. You will be tasked with architecting, collaborating and implementing solutions to technical problems that will put you in a position to learn and grow. Your mission will be to research, imagine, analyze, and ultimately build out methodologies for determining which marketing channels are having what effect on client purchase statistics. You will be the first data scientist hired specifically for this purpose, and thereby we are counting on you to design our approach to the unique problems at hand.

You will do extensive research of existing methodologies and various practices employed by others in order to understand some of the inherent wider problems in this particular problem set. You will work with our extensive internal analytical toolset to vet various theories.

You will collaborate with our broader data science team and actively seek their consultation as you hone your strategies.

If you are an experienced data scientist with an in depth knowledge of statistics, then you will be a great fit for this position. At AdRoll Engineering, we value the freedom and autonomy we give to our employees and urge everyone to use a multitude of different technologies based on their interests. In this position, you have the chance to create, build, and own complex modeling pipelines.

RedElastic is looking for a talented machine learning expert to help us craft the next-generation of social platforms. Leverage your deep knowledge of first-principles in machine learning and deep learning to implement matching algorithms in the social video space.

What you will do day-to-day: We didn't start RedElastic to grow into yet another giant consulting company, we started RedElastic to create a home for the top talent in Canada so we could all build a brand we're proud of.

We're very selective about who we hire, and even more selective about the client work we take on. This means you'll have a direct impact on the type of work we do as a team together. The benefits of working at RedElastic: Rainforest is changing the way people do QA and data is at the heart of how we do that.

From crowd management and fraud detection to data visualization and automation research, there are myriad opportunities to use your creativity and technical skills. We are looking for someone who learns quickly and is a great communicator. Since we are a remote, distributed development team, decent writing skills and over communication is important to us. You can be based anywhere in the world including San Francisco, where our HQ is located.

We regularly send our data scientists to conferences, both [to speak] https: You can read about some of our work on [predicting test run durations] https: And hear some of our team members speak on the topic of Women, Company Culture, and Remote Teams [here] https: See more jobs at Rainforest Visit Rainforest 's website.

Please use this link to apply: At Envision we believe in a future free from the complexity of the payments eco-system, building our solutions with privacy of consumer data in mind and security by design. We give our customers peace of mind from the risk of growing online fraud with our innovative solutions using AI and cutting edge technology.

We are now building SpiralPay, an innovative mobile wallet platform that revolutionises payments, secure identity verification and data privacy all in a single platform. SpiralPay allows people to take back control of their data acting as a single tool for secure login, identity verification and payments without storing or sharing personal data.

Even Envision will not have access to the data as the key always stays in the hands of the consumer. Unlike other wallets we focus heavily on security, promising our customers that we will never store their personal data or share to third parties with their explicit consent. Using a unique personal behavioral map which is created and updated frequently after each transaction. We are fully remote team at the moment and so communication is really important, we use Slack to make it easier and we also have regular video conference calls.

The role requires working with all kind of libraries such as Tensorflow, Scikit-learn etc. This is an exceptional prospect with plenty of room for career progression.

Data Scientist Job Responsibility: Please email your CV and cover letter to info envisionworld. If you have many projects on github or similar please tell us which we should look at. Members of Data Science Engineering have a passion for not only mathematics, but also technology.

If you join our team, you will have the opportunity to stay on the cutting edge of research and then to put this research to practical use by building your own software and infrastructure systems. When you push out your code, you will be able to see the results of your efforts ripple throughout our systems in real-time. Our advanced optimization team focuses on utilizing data to drive revenue at AdRoll while optimizing value for individual marketers across our growing product eco-system.

Your main responsibility will be to lead a team that improves and scales our internal optimization algorithms. This means providing mentorship and guidance in statistics, experimental design, and large data processing tasks. You must have the ability to articulate recommendations in a clear and concise way. You will bring a real passion for finding creative end-to-end engineering solutions to complex business problems. Old school video games.

Summary The Wikimedia Foundation is looking for a seasoned data scientist to join the Contributors team. Data Scientists at the Wikimedia Foundation are key members of the product team who are the experts within the organization at measuring what is going on.

Their analysis and insight help product analysts and managers envision, scope, and refine features, products, and services that are used by hundreds of millions of people around the world. You will join the Contributors team, where we build collaborative, inclusive tools for creating and editing free knowledge.

We'd really like to see what you can do! With local presence in countries, north of 30 billion SEK in annual turnover and more than one Terabyte of machine data generated every second, Sandvik Machining Solutions is a world leader in engineering solutions the manufacturing industry. With its brand recognition and global reach, Sandvik aspires to help its industrial customers embrace digital transformation, at scale, globally.

To do so, it created CODE. Together with a dynamic team of experienced product managers, designers and engineers, you will work in close collaboration with our customers — all over the world — to identify, prototype and build compelling and purposeful use cases through machine learning, artificial intelligence and data mining. As a team, we are deeply committed to transform the way Sandvik approaches digital solutions to hard problems.

We view integrity, openness and accountability as cornerstones to our ability to deliver value in both the short and long term.

Our operational model is rooted in design thinking, and we work closely with customers, partners and internal Sandvik teams to ideate, prototype and iterate concepts at a rapid pace. We exponentially scale only the solutions we can prove to drive substantial value creation for our customers.

Contact information For further information about this position, please contact: Please showcase your skills by adding your StackOverflow or GitHub profile in your application. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Our beautiful offices are located in SoMa San Francisco. Solid engineering skills to build scalable solutions and help automate data processing challenges.

What you can expect - Employ scalable statistical methods and NLP methods to develop machine learning models at scale, owning them from inception to business impact. The ability to implement and test your ideas quickly is crucial. Fun facts about the Data Science team - We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections.

Why work at Doximity? What you can expect -Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact. Fun facts about the Data Science team -We have one of the richest healthcare datasets in the world.

Check out our apps iOS, Android and our video! The driver of our growth. Our monthly budget is hundreds of thousands of dollars, and we constantly strive to increase it.

We want to become one of the biggest spenders on the internet. Our CEO invests much of his time into improving our methods. See more jobs at Mixtiles Visit Mixtiles 's website. Chcesz uczestniczy w budowie jednej z najpotniejszych na wiecie platform DSP, przetwarzajcej setki tysicy zapyta na sekund z latency time rzdu kilku ms? We si zdecyduj i Tu as envie d'en savoir plus?

Contacte-nous et on discutera de vive voix: Would you like to join one of the most exciting and fast growing companies in the Netherlands? Would you like to be part of an international team of professionals and explore the frontiers of unstructured big-data based out of Amsterdam? For nearly 30 years, ZyLAB has been a visionary in the data science space; unstructured big-data in particular.

We are a global leader in the development of award-winning search, text-mining, machine learning, and other artificial intelligence technology. With customers in 60 countries, our software is trusted by Fortune companies, law firms, courts, law enforcement agencies, and local and government agencies around the world. This department is led by prof dr ir J. Currently, we are actively looking for graduate students and interns, who are looking for paid and interesting research projects.

The internships will allow you to learn how data science technology is applied in commercial and government organizations for mission critical applications and at the same time execute thorough scientific research. We are looking for an excellent candidate to extract the business information from the large data-sets we are working with. The information that comes out of the data sets will enable our customers to protect the sensitive medical data that is held on their networks.

Duties range from optimising data formatting within a no-SQL database, machine learning across different data sets, to working with fuzzy logic to reason with incomplete data. Our in-house machine learning frameworks run over hundreds of terabytes of data daily, ensuring our pricing engine stays fresh and accurate as it bids on billions of ad opportunities. DSE Infrastructure members have a passion for technology and mathematics, keeping our machine learning and analysis pipelines humming at petabyte scales.

AdRoll engineers are afforded significant autonomy. DSE Infrastructure engineers design their systems as they see fit, own their code, enable analysts to dive deep with ease, and ensure our hungry machine learning algorithms are fed. DSE Infrastructure engineers work on a variety of projects with data from disparate sources, but all at large scale.

This role provides thought leadership on new products and solutions and identifies viable solutions through applied research. Masters or PhD in a quantitative and experimentation focused field Required Qualifications: Tableau and website usage analytics and software tools Google Analytics. We are an equal opportunity employer and encourage individuals of all ethnic and racial backgrounds and gender identities to apply to our positions. That growth would not be possible without identifying top talent within one of the fastest growing verticals in technology.

You would be collaborating with a talented, senior team providing best-in-class solutions for extremely complex problems and have the ability to work on the most cutting edge technology platforms and tools available. If you have experience automating large scale deployments with modern configuration and deployment management systems this could be the ideal role for you.

We are growing at an unprecedented rate and this is a great time to get in on the ground floor of something extremely exciting. SemanticBits is looking for a Data Scientist eager to use advanced analytical, machine learning and data transformation techniques as a means to develop practical tools and analyses that can help solve complex business problems; transforming volumes of data into actionable information. In some instances, you will be using languages like R or Python to employ newer techniques like tree ensembles, neural nets, and clustering to solve long-standing questions.

In other instances, it will be your responsibility to come up with solutions for problems that have not yet been identified. In order to do so, the Data Scientist will have to be confident that they can solve a wide-range of problems using a variety of techniques—some known, some new, some yet to be created. At Toptal, we measure everything and always rely on data to guide all of our initiatives, including both our long-term strategy and our day-to-day operations.

As a Data Scientist on our Analytics Team, you will be working with our cross-functional team to model complex problems, discover actionable business insights, and identify high-impact opportunities.

You will be part of a high-energy, fast-paced team responsible for supporting initiatives and operations across the company.

We have freedom to choose the best tool for the job. We work on problems that deeply affect the operation of our business. This ranges from predictive models, controlling and optimizing the client flow, and other very open-ended questions.

For example, our stakeholders may ask if it is feasible to pursue a certain business direction and, if so, what are the implications on business processes and the costs of moving to that solution. This is a remote position that can be done from anywhere. However, we do things like [rent out hotels in Africa or mansions in Thailand] https: As a Mentor, you will support students while they build projects as they master data science fundamentals. Thinkful mentors work remotely and set their own hours.

The role is a great fit for experts who genuinely love their work and want to share their expertise, experience, and themselves with awesome students and fellow mentors from around the globe! We're looking for someone to join our Data Team who can help us maintain, design and launch new data pipelines for our product that helps 1. If that sounds exciting to you, keep reading!

We're a widespread remote team of 62 people, located in eleven countries, that think computers should do more work. The Data Team currently has team members in Texas and Alabama.

You don't have to be located in the USA, you just have to be talented! We get together per year for a company retreat next one in is January , and benefits include great healthcare, dental and vision coverage, k retirement plan with company match, profit sharing and 14 weeks paid leave for new parents. We're not accepting applications from agencies. Our software runs over hundreds of terabytes of data daily to produce its models, which are then subsequently queried billions of times by hundreds of servers.

Current members of Data Science Engineering have a passion for not only mathematics, but also technology. Moreover, AdRoll Engineering is broken out into small teams that have significant autonomy. Data Science Engineering is a small team with a variety of concurrent projects. Your interests dictate what projects you will tackle.

The common thread among all projects is that they require a high level of mathematical sophistication and engineering prowess, due to the scale of our data. With the recent addition of Prelert to Elastic, we now have a fully dedicated Machine Learning team in house.

Our goal is to further expand our capabilities in developing technologies that allow users to better understand the behavior of their data. Our team has developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search.

And in order to get there, our team is looking to hire an exceptional Data Scientist to join them. This is an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the core of our new machine learning offering. As a Data Scientist you will contribute to the Machine Learning team within Elastic by performing data analysis on large and complex datasets and represent findings effectively and clearly to various audiences.

To succeed in this role, you will be driven by a genuine interest for understanding and exploring data. You must be able to interpret customer requirements and map these to deliver real business value. Typical projects you will be involved in will include: They will lead development and execution of highly complex algorithms and statistical predictive models to determine analytical approaches along with modeling techniques within the automotive industry.

Lead and develop highly scalable classifiers and tools leveraging machine learning, data regressions, and rules based models. Automattic is looking for a data analyst to join the marketing team. You will distill data into actionable insights to guide our customer marketing and retention strategy as well as inform product development efforts. Build and maintain standardized reporting on key metrics across the customer lifecycle. Develop customer segmentation models to inform tailored, multi-channel marketing strategies.

Conduct ad hoc analyses to better understand customer behavior, needs, and individual test results. Partner with other analysts and developers to increase data accessibility across the organization. Design a process for prioritizing and communicating data requests and priorities.

Are proficient in SQL and Excel. Have experience with web analytics platforms such as: Have experience working with marketing teams to deliver analyses and answer business questions. Are able to communicate data in a way that is easy to understand and presents clear recommendations. Are highly collaborative and experienced in working with business owners, executives, developers and creatives to discuss data, strategy and tests.

Have excellent prioritization and communication skills. Ideally, have web development experience though not required. How to Apply Does this sound interesting? Let us know what you can contribute to the team.

Make sure you spell and capitalize WordPress and Automattic correctly. We are lucky to receive hundreds of applications for every position, so try to make your application stand out. If you apply for multiple positions or send multiple emails there will be one reply. If you're reading this on a site other than automattic. Want to increase your chances of standing out? If so, please address some or all of following points in your application: WalletHub is a high-growth start-up based in Washington, D.

Our fast-paced environment and can do attitude have already earned us several prestigious awards including this year's Gold Stevie for best financial services website from the American Business Awards and a gold medal as one of the products of the year from the Consumer World Awards.

We're seeking hardworking, like-minded individuals to help us disrupt personal finance and make a tangible difference in people's everyday lives. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features: WalletHub identifies improvement opportunities and guides you through the necessary corrections. In addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in.

This position does not have a location requirement and can be performed either remotely including from outside the U. Expected work schedule is 45 to 50 hours per week. This is an exciting opportunity to work on a platform accelerating technology innovation and serving your fellow engineers and entrepreneurs, and ultimately has high impact on the world, helping to solve the big problems.

As an early stage company, Loci is a remote team Northern Virginia based tackling the large challenge of a getting a high growth company through early structuring. For early team members, there is virtually unlimited potential for growth. We are offering flexibility, equity, and salary components to facilitate getting the right team members on board, and in place for an exciting ride. Loci is seeking a Senior Developer and Data Scientist to help realize our product.

At the core of our platform, a set of heuristics and algorithms express relationships among products, concepts, inventors, investors, etc.

Join "The Data Analysts Career"Newsletter

Find freelance Data Analysis work on Upwork. 68 Data Analysis online jobs are available. and some of them are very random and small. It is a tedious job, but should not take longer than hours. Analytics Data Analytics Internet Research Microsoft Excel Statistics. CPA to . Statistics jobs available in Work at Home on Apply to Analyst, Evaluation Specialists, Research Consultant and more! Flexible & Telecommuting Statistics Jobs Welcome to our Statistics telecommuting jobs! Statistics is the mathematical study of the science pertaining to the collection, analysis, interpretation or explanation, and presentation of data.