Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
About the role
- Senior Data Scientist at Tiger Analytics developing forecasting models and collaborating with teams to enhance operational analytics across sectors. Exploring innovative data-driven solutions for Fortune 500 clients.
Responsibilities
- Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
- Apply advanced data science techniques to identify patterns, inefficiencies, and bottlenecks across logistics and operations.
- Build scalable data pipelines and analytical models using PySpark for large-scale datasets.
- Develop predictive and prescriptive models to support decision-making in areas such as demand forecasting, routing, and inventory management.
- Collaborate with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions.
- Communicate insights and recommendations clearly to stakeholders through data storytelling, visualizations, and presentations.
- Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
- Stay connected with external sources of ideas through conferences and community engagements
Requirements
- 6**+ years of professional experience** in Data Science, Analytics, or related roles.
- Design, build, and optimize **forecasting models** (time series, demand forecasting, predictive analytics).
- Strong programming skills in **Python** with demonstrated use of scientific computing libraries (NumPy, Pandas, SciPy, scikit-learn, etc.).
- Experience with **PySpark** for large-scale data processing and analytics.
- Hands‑on in experimentation, diagnostics, and evaluation, comfortable operating with imperfect data and iterative validation; experience supporting merchandising, assortment planning, or supply‑chain decisions in a large enterprise environment
- Develop and tune **tree-based models** (Random Forest, Gradient Boosting, XGBoost, LightGBM, CatBoost).
- Strong analytical, problem-solving, and communication skills.
- Experience developing models from inception to deployment
Benefits
- This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
- ***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***
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