Data Team Lead coordinating data engineering and reporting capabilities for mining industry projects. Guiding a team while ensuring timely delivery aligned with project priorities in a hybrid work environment.
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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