Qualifications
Key Responsibilities:Work collaboratively with business partners to create innovative solutions that meet objectives using advanced techniques and tools.Utilize sophisticated data science methods to uncover patterns, inefficiencies, and bottlenecks within logistics and operations.Construct scalable data pipelines and analytical models employing PySpark for extensive datasets.Design predictive and prescriptive models to aid decision-making in areas like demand forecasting, routing, and inventory management.Engage with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions.Effectively communicate insights and recommendations to stakeholders through data storytelling, visualizations, and presentations.Foster a passion for Data Science within the broader enterprise community; establish and enhance long-term processes, frameworks, tools, methods, and standards.Mentor and collaborate with a growing team of skilled Data Scientists.Network with external sources of innovation through conferences and community engagements.Requirements:7+ years of professional experience in Data Science, Analytics, or related fields.Expertise in designing, building, and optimizing forecasting models (time series, demand forecasting, predictive analytics).Proficient in Python with demonstrated experience in scientific computing libraries (NumPy, Pandas, SciPy, scikit-learn, etc.).Hands-on experience with PySpark for large-scale data processing and analysis.Skilled in developing and tuning tree-based models (Random Forest, Gradient Boosting, XGBoost, LightGBM, CatBoost).Excellent analytical, problem-solving, and communication skills.Experience taking models from inception to deployment.
About the job
Tiger Analytics is seeking talented Senior Data Scientists to join our rapidly expanding advanced analytics consulting firm. Our consultants possess extensive experience in Data Science, Machine Learning, and AI, serving as the trusted analytics partner for numerous Fortune 500 companies. We empower organizations to drive business value from data, a commitment recognized by leading market research firms such as Forrester and Gartner. As we strive to build the premier global analytics consulting team, we are eager to welcome exceptional talent.
We are looking for a Senior/Lead Data Scientist who excels in forecasting, tree-based models, and large-scale data processing. This position necessitates hands-on experience with PySpark, Databricks, and Azure, along with the capacity to lead end-to-end model development and deployment. Familiarity with MLOps/DevOps is highly advantageous.
About Tiger Analytics
At Tiger Analytics, we are a leading advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Partnering with Fortune 500 companies, we help organizations unlock the business value of their data, earning accolades from research firms like Forrester and Gartner for our commitment to innovation and excellence in analytics.