12 часов назад
Senior Data Scientist (AI)
109 400 - 150 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Developing and operationalizing advanced statistical, machine learning, and AI solutions for measurable business value with an accent on production model deployment, experimentation, and cross-functional analytics. Focus on building scalable MLOps practices, designing causal and predictive models, and translating complex findings into decisions for business and senior leadership.
Location: Camden, New Jersey, United States
Salary: $109,400–$150,400 per year base salary
Company
is a food company with a portfolio of established meal, snack, and beverage brands, including , Goldfish, Pace, Prego, Rao's Homemade, and V8.
What you will do
- Lead the end-to-end development of machine learning, deep learning, AI, optimization, simulation, data mining, and multivariate statistical solutions.
- Source, cleanse, engineer, and validate data while maintaining reproducibility, quality assurance, and model governance.
- Deploy, monitor, retrain, and manage the lifecycle of production models in collaboration with Data Engineering and ML Engineering.
- Partner with Supply Chain, Finance, Marketing, Sales, and R&D to identify opportunities and deliver measurable business outcomes.
- Design A/B tests and quasi-experimental analyses, establish success metrics, and communicate recommendations to technical and non-technical audiences.
- Improve analytics platforms and mentor junior data scientists through code reviews, methodology guidance, and technical leadership.
Requirements
- Master's degree in Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative field; equivalent practical experience is considered.
- 4+ years of experience developing and deploying advanced analytics, machine learning, and statistical models in production.
- Strong knowledge of probability, statistics, supervised and unsupervised learning, forecasting, experimentation, causal inference, and optimization.
- Advanced proficiency in Python and/or R, plus 2+ years of SQL experience with modern data platforms such as Snowflake, Databricks, or Spark.
- Experience with pandas, NumPy, SciPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, or statsmodels.
- Experience with Git, Docker, MLflow, CI/CD, model monitoring, production support, complex project leadership, and mentoring.
Nice to have
- PhD in a related quantitative discipline.
- Experience with Gurobi, PuLP, or similar optimization frameworks.
- Experience with Microsoft Azure analytics and machine learning services, including Databricks, Synapse, AKS, and Azure Functions.
- Experience building dashboards and analytical applications with Power BI, Tableau, or Plotly Dash.
- Experience in consumer packaged goods, retail, demand forecasting, pricing, marketing mix modeling, assortment optimization, or supply chain optimization.
Culture & Benefits
- Medical, dental, disability, accidental death and dismemberment, and life insurance benefits begin on the first day.
- Matching 401(k) plan with immediate vesting and enrollment available from the first day.
- Unlimited sick time, paid time off, and holiday pay.
- Additional benefits at the World Headquarters include fitness center access, on-site childcare, and a company store.
- Employee donations and volunteer activity can be matched through the Cares program, with access to Employee Resource Groups.
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