[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. Point is a company dedicated to making homeownership more valuable and accessible. They are seeking a Senior Data Scientist to build and deploy machine learning models to support various business functions, monitor model performance, and maintain high-quality datasets while collaborating with cross-functional teams.ResponsibilitiesModel Development: Design, train, and deploy machine learning models to solve marketing, forecasting, and operational problemsModel Monitoring: Track model performance, detect drift or deterioration, and assist in implementing corrective measuresForecasting & Insights: Develop time-series forecasts and performance dashboards that inform marketing strategies and broader business decisionsData Management: Clean, transform, and maintain structured datasets to ensure reliable inputs for analytics and modelingCollaboration: Partner with marketing, product, and business teams to translate requirements into data-driven solutionsDocumentation & Reporting: Produce clear documentation of models, data pipelines, and processes; communicate insights to technical and non-technical stakeholdersSkills4–5 years of hands-on experience in data science, applied statistics, or machine learning (internships and projects count)Familiarity and experience working with AI toolkits such as Claude or Gemini or similarStrong foundation in Python (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow a plus)Familiarity with SQL for data extraction and transformationExperience with basic machine learning workflows: preprocessing, feature engineering, model training, validation, and monitoringUnderstanding of data visualization tools (e.g., Tableau, Power BI, or Python libraries like Matplotlib/Seaborn)Curiosity and eagerness to learn — especially around model monitoring, forecasting, and marketing analyticsExcellent problem-solving skills and ability to communicate insights clearlyBachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field. A Master's degree is a plusAdvanced knowledge of AI toolsExpertise on BI dashboarding tools such as Sigma or Tableau preferredStrong Excel skillsBenefitsGenerous health benefits: We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA).Unlimited paid time off: Recharge with unlimited paid time off and 10 company holidays.Flexible remote and onsite work: Our teams work from many different locations and time zones. We support fully remote work and also have an amazing in-person environment in our downtown Palo Alto, CA HQ.Fully paid parental leave: Point will supplement state Paid Family Leave (PFL) so employees receive 100% of their regular base pay, plus two additional weeks of fully paid leave after state PFL ends. In states without PFL, Point offers up to 8 weeks of paid parental leave. In addition, employees also receive 4 weeks of fully paid transition time, during which you may work 2–3 days per week while receiving full base pay.Equity: We offer meaningful equity because we believe in sharing the value you help create. Your contributions directly impact our growth, and your equity gives you a stake in our future success.Financial wellness: We provide 401K retirement plans for employees as well as guaranteed life insurance and short- and long-term disability coverage.Extra work/life benefits: We provide monthly stipends for internet, mobile plans, wellness perks, a one-time home office reimbursement, and company provided equipment including a MacBook and monitor.Company OverviewPoint is a home equity platform that allows homeowners to convert a portion of their home equity into cash without taking on a loan. It was founded in 2015, and is headquartered in Palo Alto, California, USA, with a workforce of 51-200 employees. Its website is https://point.com.Company H1B SponsorshipPoint has a track record of offering H1B sponsorships, with 1 in 2026, 5 in 2025, 1 in 2024, 4 in 2023, 2 in 2022, 3 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.