Top Remote Data Scientist Jobs with Great Benefits 2024

Remote data scientist positions with good benefits

We found several remote data scientist positions with good benefits. Notable roles include a Senior Data Scientist position at Tilt Finance offering $155K–$185K annually and a Data Scientist role at BNSF Railway with a salary range of $165K–$300K per year. These opportunities span various companies and salary ranges, providing a diverse selection for remote work.

Data Scientist (Remote | $45 –$100/hr)

Call For Referral

Anywhere

$45 - $100 / hour

Contractor

2 days ago

Data Science Tutor (Full Time) Hourly Contract | Remote US | $45 –$100 per hour 1. Role Overview Mercor is partnering with a leading AI research organization to engage experienced Data Science professionals in a full-time, high-impact project focused on training and refining next-generation AI systems. As an AI Tutor – Data Science Specialist, you will play a vital role in improving the performance, reasoning, and analytical depth of large language models (LLMs) by providing high-quality data annotations, structured feedback, and expert insights across quantitative domains. You’ll collaborate with cross-functional teams to design new AI training tasks, evaluate model outputs, and identify challenging data science problems that can enhance model comprehension and technical accuracy. This role is ideal for professionals who combine analytical rigor, curiosity, and technical expertise with a passion for advancing AI technology. 2. Key Responsibilities • Use proprietary tools to label, annotate, and evaluate AI-generated outputs related to data science, modeling, and analytics. • Deliver curated, high-quality datasets that enhance model understanding and reasoning across statistical and computational concepts. • Collaborate with AI research teams to design, test, and refine AI training workflows. • Provide expert input on the development and optimization of annotation tools and processes. • Apply critical thinking to analyze and interpret evolving task guidelines. • Contribute domain knowledge to research-driven initiatives aimed at improving AI reliability and interpretability. 3. Ideal Qualifications • Master’s degree or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or related fields. • Alternatively, recognition from a global quantitative competition such as the International Mathematical Olympiad (IMO) or an equivalent. • Proficiency in both informal and professional English communication. • Strong ability to research and cross-verify technical or academic information. • Excellent analytical, organizational, and communication skills. • Ability to work independently and apply sound judgment in complex problem-solving. • Deep passion for AI innovation, data modeling, and quantitative reasoning. 4. Preferred Qualifications • Publication record in a peer-reviewed journal or recognized research outlet. • Prior experience as an AI Tutor, data annotator, or research contributor. • Background in teaching, tutoring, or academic instruction. • Experience in technical writing, documentation, or journalism. • Professional background as a Data Scientist, Statistician, or Researcher in applied quantitative domains. 5. More About the Opportunity • Location: Remote (US-based) or in-person in Palo Alto, CA (in-office requires 5 days/week). • Schedule: 9:00 AM–5:30 PM PST for the first two weeks; afterward, aligned with your local timezone. • Technical Requirements: • Chromebook, Mac (macOS 11+), or Windows 10+ device. • Reliable smartphone access. • Stable high-speed internet connection with camera and microphone. • Eligibility: U.S. applicants must reside outside of Wyoming and Illinois. • Visa Sponsorship: Not available. 6. Compensation & Contract Terms • Hourly Rate: $45 –$100 USD/hour, depending on experience, expertise, and location. • Classification: Independent Contractor. • International Pay Rates: Available upon request. • Payments issued regularly for completed work. • Hourly compensation is part of a broader performance-based rewards structure; benefits vary by country. 7. Application Process • Submit your resume or CV to begin the process. • Complete a brief screening interview. • If selected, proceed to: • A technical deep-dive on your data science and annotation experience. • A take-home challenge focused on applied data labeling or model evaluation. • A team meet-and-greet with project collaborators. ⚡ PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity. ⚡

Senior Data Scientist (Remote)

Tilt Finance

Anywhere

$155,000 - $185,000 / year

Full-time

Join the Tilt team At Tilt (formerly Empower), we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond outdated credit scores, using over 250 real-time financial signals to recognize real potential. Named among the next billion-dollar startups, we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity: Sr. Data Scientist Our data scientists are responsible for the entire machine learning model development process from conception with stakeholders, creation of model pipelines, technical development, deployment, and partnership with the credit, product, and finance teams to make business decisions. The ideal candidate is passionate about using data and models to drive business growth and help customers improve their financial situations. For this role, we’re looking for an experienced data scientist to work within our talented DS team for Tilt Cash Advance and Thrive Line of Credit products. This individual will help create and improve credit risk models, build ML based paycheck detection algorithms to help the business decrease loss rates and increase approval rates. The right person for this role is someone who shines while solving complex problems and is comfortable with a wide variety of technical tools. Tilt is a remote-first company. We drive connectivity through regular company offsites. Travel for company offsites is expected at a minimum 2 times a year. How You'll Make an Impact • Grow user base and increase retention through machine learning and analytics • Build machine learning models with large scale data sets to address business priorities • Design and influence strategies on underwriting, marketing, fraud and customer experience • Work closely with our engineering team as you implement models in production • Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context • Develop data standards and analytics pipelines to facilitate current and future analysis Why You're a Great Fit • BS degree in engineering, computer science, finance or mathematics • 4+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling • Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization Experience building predictive models from scratch • Strong programming skills in Python with intermediate to advanced knowledge of SQL • Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc. • Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required • Comfort working with a variety of cross functional partners in tech, product, credit, and business • Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience Don’t meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you. What you'll get at Tilt • Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You’ll get started with a WFH office reimbursement. • Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. • Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. • Visibility is yours: You can count on direct exposure to our leadership team — we’re a team where good ideas travel quickly. • Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We’ve visited Vail, San Diego, and Mexico City, to name a few.) • Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines. The Tilt Way We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable — brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures. You’re pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.

Associate Data Scientist, West

Dataiku

Anywhere

Full-time

2 days ago

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. The role of an Associate Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly python, with occasional work in other languages (e.g., R, SQL, pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients. In this role you'll help the team: • Co-develop production-level data science projects with our customers. • Analyze and investigate various kinds of data and machine learning applications across industries and use cases. • Help users discover and master the Dataiku platform, via user training, office hours, and ongoing consultative support. • Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams. • Develop custom Python or R-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality. You might be a good fit for the role if you have: • Recently matriculated from a Bachelor’s or Master’s program focused on: Statistics, Computer Science, or a related field. • Curiosity and a desire to learn new topics and skills. • Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public. • The ability to clearly explain complex topics to technical as well as non-technical audiences. • 0-1 years’ of experience with ML tools (e.g., Python, R). • 0-1 years’ of experience building models. • Familiarity with data visualization in python, R. • Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL. • Location: Must be located within the MDT and CST regions of the US and can work remotely (up to 20% client-based travel). Technical skills that may help you in the role: • Experience with Consulting and/or Customer-facing Data Science roles. • Experience with Data Engineering or MLOps. • Experience developing WebApps in Javascript, RShiny, or Dash. • Experience building APIs. • Experience using enterprise data science tools. • Passion for teaching or public speaking. Compensation and Benefits The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program. Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time. US only national base pay ranges $110,000—$130,000 USD What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Remote Data Science Jobs

Turing.com

Anywhere

Full-time

27 days ago

About the role: We, at Turing, are looking for experienced data scientists who can perform business/product analysis, define key metrics, and set product team goals. Here's your chance to work with leading Silicon Valley companies and rise quickly through the ranks. About Turing.com Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”. We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 900+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, and Coinbase have hired Turing developers. Responsibilities: - Identify business challenges and opportunities for product/service improvements. - Use analysis to make strategic or tactical recommendations. - Apply data cleaning and wrangling expertise, quantitative analysis, and data mining. - Partner with product and engineering teams to solve problems and identify trends and opportunities. - Inform, influence, support, and execute product decisions and launches. - Forecast and set product team goals and design and evaluate experiments. - Monitor key product metrics and understand the root causes of changes in metrics. - Build and analyze dashboards and reports. - Build key datasets to empower operational and exploratory analysis. - Propose what to build in the next roadmap. - Understand ecosystems, user behaviors, and long-term trends. - Identify new levers to help move key metrics. - Build models of user behaviors for analysis or to power production systems. - Influence product teams by presenting data-based recommendations. - Communicate the state of business, experiment results, etc., to product teams. - Spread best practices to the analytics and product teams Requirements: - Bachelor’s Degree/MA or Ph.D. focusing on Business, Math, Economics, Finance, Statistics, Science, or Engineering. - Knowledge of quantitative data analysis, report writing, and presentation of findings. - Expertise with data querying languages (e.g., SQL) - Proficiency in scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, MATLAB). - Fluency in English to collaborate with engineering managers and other team members - Ability to work full-time (40 hours/week) with a 4-hour overlap with U.S. time zones Preferred skills: - Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of data. - Applied statistics or experimentation (i.e., A/B testing) in an industry setting. - Expertise in communicating the results of analyses to product or leadership teams to influence strategy What we offer: - Elite U.S. Jobs - Long-term, full-time opportunities - Flexibility to work from anywhere in the world - Better compensation - Career growth - Exclusive Developer Community - Upskilling workshops - Career development sessions - Networking meetups - Referral programs Once you join Turing, you'll never have to apply for another job!

[Remote] Data Scientist (Sr/Staff Software Engineer) (Remote - US)

BNSF Railway

Anywhere

$165,000 - $300,000 / year

Full-time

2 days ago

Note: The job is a remote job and is open to candidates in USA. BNSF Railway is one of the largest U.S. railroads, and they are seeking a Data Scientist to support the movement of essential products and materials. The role involves leading data-driven initiatives, developing machine learning models, and collaborating with stakeholders to drive strategic decision-making. Responsibilities • Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models. • Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. • Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows. • Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making. • Design and present compelling visualizations and reports to effectively communicate analytical findings. • Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision. • Keep abreast of emerging trends and breakthroughs in data science and machine learning fields. • Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. • Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. • Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. Skills • Minimum 5 years of experience with Building optimization Algorithms or relevant experience • Advanced proficiency in programming languages such as Python, R, SQL, and Java. • Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively. • In-depth experience with data science cloud platforms and their integration into business solutions. • Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment. • Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies. • Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism. • Deep understanding and application of statistical analysis and advanced machine learning techniques. • Bachelor's degree in Operations Research, Computer Science, Industrial Engineering or a related field, or a related field. Ph.D is a plus • Knowledge of geospatial analytics, route optimization, and GIS concepts. • Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions. • Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector. • Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives. • Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level. Benefits • An industry-leading 401(k) and renowned Railroad Retirement program. • A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options. • Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost. • Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match). • Access to discounts on travel, gym memberships, counseling services and wellness support. • Annual bonus (Incentive Compensation Program) • Generous leave / time off policies. Company Overview • BNSF Railway operates one of the largest railroad networks in North America, with about 32,500 route miles in 28 states and three Canadian provinces. It was founded in 1994, and is headquartered in Fort Worth, Texas, USA, with a workforce of 10001+ employees. Its website is http://www.bnsf.com/. Company H1B Sponsorship • BNSF Railway has a track record of offering H1B sponsorships, with 6 in 2025, 3 in 2024, 1 in 2023, 4 in 2022, 4 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.

Top Remote Data Scientist Jobs with Great Benefits 2024

Remote data scientist positions with good benefits

Related Jobs:

Data Scientist (Remote | $45 –$100/hr)

Senior Data Scientist (Remote)

Associate Data Scientist, West

Remote Data Science Jobs

[Remote] Data Scientist (Sr/Staff Software Engineer) (Remote - US)

Remote data scientist positions with good benefits

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