What are the responsibilities and job description for the Data Scientist - TIme Series position at Acunor?
Senior Data Scientist – Econometrics & Time Series
Location: Philadelphia, PA (Hybrid – 2–3 Days Onsite)
Type: Full-Time
Role Overview
We are seeking a Senior Data Scientist with strong expertise in Econometrics and Time Series Analysis to support advanced analytics initiatives for a large Telecommunications environment. This role focuses on forecasting, causal inference, customer behavior analytics, and statistical modeling using large-scale datasets.
The ideal candidate will have deep hands-on experience with econometric techniques, probabilistic modeling, and time series forecasting frameworks, along with strong Python and SQL skills.
Key Responsibilities
- Build and deploy advanced time series forecasting models including ARIMA, SARIMA, VAR, and state-space models
- Apply econometric techniques such as WLS, regression diagnostics, panel data models, and causal inference methods
- Develop Bayesian and probabilistic models for uncertainty estimation and decision-making
- Utilize Markov chains and stochastic modeling techniques for behavioral and sequential data analysis
- Translate complex business problems into scalable analytical solutions and actionable insights
- Work with large-scale datasets using Databricks and modern analytics platforms
- Partner with business and technical stakeholders to drive data-driven decision making
- Mentor junior data scientists and promote best practices in statistical modeling and experimentation
Required Skills
- Strong expertise in Econometrics and Time Series Analysis
- Hands-on experience with:
- ARIMA, SARIMA, VAR, forecasting models
- Regression diagnostics, WLS, panel data models
- Causal inference and experimentation frameworks
- Bayesian statistics and probabilistic modeling
- Markov chains and stochastic processes
- Strong programming skills in Python and SQL
- Experience with Databricks or similar big data environments
- Excellent communication and stakeholder management skills
Nice to Have
- Experience with machine learning models and predictive analytics
- Knowledge of feature engineering, model validation, and performance tuning
- Exposure to ML pipelines and MLOps concepts
- Telecommunications domain experience is a plus
Salary : $140,000 - $150,000