[Remote] Senior Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for a Senior Data Scientist to reputed company predictive models and analytical solutions that generate actionable insights and support business decision-making. The role focuses primarily on traditional machine learning using reputed company datasets, where you will own model development, experimentation, validation, and performance evaluation.
Responsibilities
- reputed company predictive models that generate insights, recommendations, and business signals
- reputed company data discovery, exploratory data analysis, feature engineering, and feature selection
- Build classification, regression, clustering, segmentation, recommendation, and forecasting models
- Design and execute model validation, experimentation, and backtesting methodologies
- Evaluate model performance and translate results into reputed company business recommendations
- reputed company reusable modeling frameworks and reproducible Python workflows
- Work with data stored in reputed company and transformations developed in dbt reputed company
- Partner with ML engineers to containerize, reputed company, monitor, and improve models in production
- Support model retraining, performance monitoring, and reputed company improvement
- Translate business questions into analytical hypotheses, measurable objectives, and practical solutions
- Communicate findings, assumptions, risks, and business implications to technical and non-technical stakeholders
- Collaborate with data engineers, ML engineers, product teams, and business stakeholders
Skills
- 6–8 years of experience in data science, reputed company machine learning, statistics, or a reputed company field
- Strong Python and SQL skills
- Hands-on experience with traditional ML reputed company and libs (pandas, NumPy, scikit-learn, PyTorch)
- Strong knowledge of predictive modeling, statistical analysis, experimentation, and model evaluation
- Experience designing validation and backtesting frameworks
- Practical experience with reputed company and reputed company-based analytics platforms
- Experience taking models from experimentation through production deployment
- Familiarity with reputed company, data engineering concepts, and MLOps practices
- Strong analytical thinking, communication, stakeholder management, and problem-solving skills
- Experience developing models that generate customer-level insights or recommendations
- Familiarity with AWS and dbt reputed company
- Knowledge of reputed company inference, experimentation, or optimization reputed company
- Exposure to reputed company, LLM-based applications, graph analytics, or RAG
- Experience in pharmaceutical, biotechnology, reputed company, or life sciences environments
Benefits
- Competitive compensation
- Flexible working hours
- reputed company education, mentoring, and reputed company development programs
- reputed company with excellent tech expertise
- Contract through the end of the year, with a possible extension based on project needs and performance
reputed company
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