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Principal Data Scientist

Data ScientistData ScientistFull TimeRemoteTeam 10,001+Since 1963H1B No SponsorCompany Site LinkedIn

Location

North Carolina

Posted

23 days ago

Salary

$144.2K - $288.4K / year

Bachelor DegreeEnglishNumpyPandasPythonPy TorchScikit LearnSparkSQLTensorflow

Job Description

• Building models for "what if" scenarios planning of the impact of market dynamics, regulatory changes, and pharmaceutical innovation on the financials of the company and our clients.

Job Requirements

Advanced proficiency in causal inference, including causal modeling frameworks (e.g., DAGs, SCMs, structural causal models).
Estimation techniques such as propensity score methods, inverse propensity weighting, doubly robust estimators, and causal forests.
Strong experience with time series modeling for forecasting, using modern statistical and machine-learning approaches (ARIMA, state-space models, Prophet, DeepAR, RNN/LSTM/Temporal Fusion Transformers).
Expertise in machine learning and statistical modeling, including regression, classification, ensemble methods, and model interpretability.
Demonstrated ability to design, validate, and operationalize end-to-end ML pipelines, from feature engineering to deployment.
Strong programming skills in Python (preferred) and proficiency with scientific computing libraries (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).
Experience with data engineering fundamentals: SQL, distributed data systems (e.g., Spark), data quality assessment, and data architecture concepts.
Familiarity with MLOps concepts and tools for versioning, automation, and monitoring.
Proven ability to design frameworks that enable counterfactual, scenario-based decision support for business strategy.
Experience partnering with product, engineering, and business teams to translate ambiguous strategic questions into analytic frameworks.
Track record of shipping and maintaining models or analytical capabilities used by business stakeholders.
Ability to lead complex analytical initiatives with minimal guidance, including technical direction and cross-functional alignment.
Strong communication skills: can explain causal assumptions, model limitations, and uncertainty to both technical and non-technical audiences.
Experience mentoring other data scientists; ability to raise the technical bar for the team.

Benefits

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access