Senior/Lead Data Scientist - Forecasting
About the role
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. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a Senior / Lead Data Scientist with strong expertise in forecasting, tree-based models, and large-scale data processing. The role requires hands-on experience with PySpark, Databricks, and Azure and the ability to lead end-to-end model development and deployment. Experience with MLOps / DevOps is a strong plus.
Key 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
- 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.
About Tiger Analytics
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Senior/Lead Data Scientist - Forecasting
About the role
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. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a Senior / Lead Data Scientist with strong expertise in forecasting, tree-based models, and large-scale data processing. The role requires hands-on experience with PySpark, Databricks, and Azure and the ability to lead end-to-end model development and deployment. Experience with MLOps / DevOps is a strong plus.
Key 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
- 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.
About Tiger Analytics
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.