Senior Data Scientist

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Senior Data Scientist

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Job Info

• Job Identification14121
• Posting Date05/15/2026, 02:56 PM
• Job RoleData Science-Gen AI Engineer
• Experience (In Years)6-9
• Job LocationPhiladelphia,PA

Job Description

Key Responsibilities

• Lead development of time series forecasting models (ARIMA, VAR, state-space models, etc.) for business-critical use cases.
• Apply econometric techniques such as WLS, panel data models, and causal inference methods to solve real-world business problems.
• Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making.
• Utilize Markov chains and stochastic processes for modeling sequential or behavioral data.
• Translate business problems into robust analytical frameworks and deliver actionable insights.
• Work with large datasets using Databricks
• Collaborate with stakeholders across business and technical teams to ensure model relevance and impact.
• Mentor junior team members and drive best practices in statistical modeling and experimentation.

Responsibilities

Must-Have Qualifications

• Strong foundation in econometrics and time series analysis (this is critical for the role).
• Hands-on experience with:
• Time series models (ARIMA, SARIMA, VAR, forecasting techniques)
• Econometric methods (WLS, regression diagnostics, panel data models)
• Causal inference (A/B testing, quasi-experimental methods)
• Bayesian statistics and probabilistic modeling
• Markov chains or stochastic modeling
• Proficiency in Python along with SQL.
• Experience working with Databricks or similar big data platforms.
• Ability to clearly communicate complex statistical concepts to non-technical stakeholders.

Qualifications

Secondary / Good-to-Have Skills (General Data Science)

• Experience with machine learning models (classification, regression, tree-based models, etc.)
• Familiarity with feature engineering, model validation, and performance tuning
• Exposure to ML pipelines and MLOps concepts

Required Skills

• Adapting To Change
• Attention To Consistency
• Big Data Optimization
• Cloud Security Management
• Data Backup and Recovery
• Data Strategy
• Interpersonal Dynamics with Coworkers
• Results Orientation
• Stakeholder Engagement
• Time Management Skills
• Working under Pressure
• Writing Communication Skills

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