This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist (Senior) in the United States.
This role offers the opportunity to drive impactful AI and data-driven solutions in a collaborative and innovative environment. The Senior Data Scientist will develop, deploy, and optimize advanced machine learning and statistical models to solve complex business and product challenges. Working with large datasets across multiple systems, you will extract insights that influence strategic decision-making and operational improvements. The role requires close collaboration with engineering and product teams while presenting findings to executive stakeholders. It is ideal for a technically skilled, analytically minded professional who thrives in a fast-paced, results-oriented setting and enjoys mentoring peers and shaping data-driven strategies.
Accountabilities:
- Develop, implement, and maintain machine learning and statistical models in cloud environments, ensuring robust production deployment.
- Integrate and analyze data from multiple systems to support predictive modeling, forecasting, classification, and segmentation.
- Continuously monitor model performance, retraining as necessary and incorporating new data sources.
- Collaborate with engineering and product teams to optimize workflows and ensure reliable model integration.
- Present findings, insights, and recommendations to both technical and non-technical stakeholders.
- Contribute to strategic initiatives by translating complex analytical results into actionable business solutions.
Requirements:
Requirements
- Bachelor’s degree with 4+ years of relevant experience, Master’s degree with 2+ years, or PhD in a data or technology-intensive field.
- Professional experience with machine learning and statistical techniques, including regression, ensemble models, clustering, forecasting, and time series analysis.
- Proficiency in Python and SQL; R or similar languages considered.
- Experience with ML/statistical packages such as scikit-learn, TensorFlow, Keras, PyTorch, SciPy, NumPy, or equivalent R packages.
- Strong analytical skills with attention to detail, accuracy, and problem-solving capabilities.
- Experience with data visualization tools like Tableau or Power BI.
- Familiarity with cloud platforms (AWS, Azure, GCP) and Agile development methodologies.
- Professional experience in financial services, fintech, banking, credit risk, or similar industries.
- Excellent verbal, written, and presentation skills, including ability to communicate complex technical topics to executives.
Benefits
- Comprehensive healthcare coverage (Medical, Dental, Vision).
- Retirement plans including 401(k) or IRA options.
· Life insurance coverage.
- Flexible paid time off and 9 paid holidays.
· Family leave programs.
· Remote work flexibility.
- Wellness resources and employee support programs.
- On-site perks for office attendees (food & snacks).
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
United States
CA and US only
India only
United Kingdom only