oracle
Senior Data Scientist
EXL
USA
Senior
Hybrid
Discovered 2 weeks ago
databrickspythonsql
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databrickspythonsql
About the Role
We are looking for a Senior Manager – Data Science (Econometrics & Time Series) to lead advanced analytical initiatives for a major Telecommunications client. This role is heavily focused on econometric modeling, time series analysis, and causal inference, with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate brings deep expertise in statistical modeling and is comfortable working with large-scale data environments.
Key Skills for This Role
databrickspythonsql
Full Job Posting
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.
- 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)
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