Senior Manager Data Science (Philadelphia)
Lorven Technologies Inc., Philadelphia, PA, United States
Hi
Role: Senior Manager Data Science
Location: Philadelphia (Hybrid)
Full Time Role
Role Overview
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 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.
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.
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
Thanks & Regards
Email: roopesh@lorventech.com
Role: Senior Manager Data Science
Location: Philadelphia (Hybrid)
Full Time Role
Role Overview
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 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.
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.
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
Thanks & Regards
Email: roopesh@lorventech.com