Tiger Analytics
Senior/Lead Data Scientist - Forecasting
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning, and AI, and serve as the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate real business value from data. Tiger Analytics has been recognized by leading research firms such as Forrester and Gartner for its business value and leadership. We are seeking top‑notch talent to help build the best global analytics consulting team in the world.
Key Responsibilities
Collaborate with business partners to develop innovative data solutions using 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 demand forecasting, routing, and inventory management.
Work 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 and help 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
7+ 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.
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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Key Responsibilities
Collaborate with business partners to develop innovative data solutions using 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 demand forecasting, routing, and inventory management.
Work 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 and help 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
7+ 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.
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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