Senior Data Scientist in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist in United States.

This role offers the opportunity to apply advanced analytics and machine learning to real-world business challenges in a fast-scaling, mission-driven environment focused on transforming homeownership and financial flexibility. You will work at the intersection of data science, marketing, and product strategy, building models and insights that directly influence customer engagement and business performance. The position combines hands-on model development with strategic analytics, including forecasting, anomaly detection, and root-cause analysis. You will collaborate closely with engineers, marketers, and business stakeholders to translate complex data into actionable decisions. The environment is highly collaborative, remote-first, and built for continuous learning and experimentation. Your work will have direct impact on both customer outcomes and company growth.

• Design, develop, and deploy machine learning models to support marketing, forecasting, and operational decision-making use cases.
• Build and maintain time-series forecasts, predictive models, and performance dashboards to support business strategy.
• Monitor model performance, detect drift or degradation, and implement improvements to ensure long-term reliability.
• Perform advanced analytics including root-cause analysis, trend detection, and exploratory data analysis.
• Clean, structure, and maintain high-quality datasets for analytics and machine learning pipelines.
• Collaborate with cross-functional teams to translate business requirements into scalable data-driven solutions.
• Communicate insights clearly through reports, documentation, and presentations for both technical and non-technical audiences.
• Support experimentation and continuous improvement across marketing and product initiatives.

Requirements:

• 4–5 years of experience in data science, machine learning, applied statistics, or advanced analytics.
• Strong proficiency in Python (Pandas, NumPy, scikit-learn; PyTorch or TensorFlow is a plus).
• Solid experience with SQL for data extraction, transformation, and analysis.
• Hands-on experience across the full ML lifecycle including preprocessing, feature engineering, training, validation, and monitoring.
• Familiarity with forecasting techniques, time-series analysis, and statistical modeling.
• Experience using data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
• Exposure to AI tools or LLM-based platforms such as Claude or Gemini.
• Strong analytical thinking with the ability to derive insights from complex datasets.
• Excellent communication skills and ability to explain technical concepts clearly.
• Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Economics (Master’s preferred).
• Strong Excel and BI dashboarding skills (Sigma or Tableau preferred).

Benefits:

• Competitive salary based on location, ranging approximately from 156,750 USD to 198,450 USD.
• Comprehensive health coverage including medical, dental, and vision insurance.
• Flexible spending accounts (FSA) and health savings accounts (HSA).
• Unlimited paid time off plus company holidays.
• Fully remote work flexibility within eligible US states.
• Fully paid parental leave with additional transition support options.
• Equity participation in a high-growth company.
• 401(k) retirement plan with additional financial wellness benefits.
• Monthly stipends for internet, mobile, and wellness expenses.
• Home office setup reimbursement and company-provided equipment.