Data Scientist 4

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
**Job Summary**

Responsible for extracting knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.

**Core Responsibilities**
- Core Responsibilities
- You have experience with GitHub and with one or more ML cloud compute solutions: AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, Databricks, etc.
- Excellent Communication skills with both US team and the team in India
- You are a lifelong learner, who is driven by curiosity and a desire to make a positive impact in the organization.
- You are results-driven, possess business acumen, and an ability to communicate your work and your findings.
- You are an engineer/manager at heart with an analytical mindset, but with a keen sense of serving the business.
- You have advanced capabilities in Excel, PowerPoint, SQL, and Python to conduct analyses, build models, and present findings.
- You have excellent project management, organizational, and collaboration skills.
- You enjoy working in global teams, assisting and educating less experienced members, while also learning from more senior colleagues.
- You take initiative and have the ability to drive projects to completion at each phase of the process, from ideation to data acquisition, to engaging with stakeholders, to developing the models, to evaluating and fine-tuning their performance, to productionizing solutions via ML pipelines, to building model performance reports.
- Knowledge of how supply and demand best practice business and data processes generate business value. Including, but not limited to demand forecasting, inventory management, supply planning, Sales and Operations Planning, and replenishment planning.
- Knowledge of and experience with best practice demand management metrics; forecast accuracy, demand attainment, bias, planner value add.
- Intelligence, integrity, domain knowledge, and verbal agility that allows you to earn the trust of business and technical teams across the company.
- Excellent operational and managerial skills required, with a proven track record of successful management of complex, data driven demand forecasting, logistics, supply chain, & operations.
- Flexible to work and support team with extended time/shifts when and where required.

**Required Skillset**:

- Should be an effective and prolific doer but should also be a creative thinker who likes to operate outside the box and suggest alternative solutions.
- Should have experience in developing Forecasting models and understand Demand Planning processes.
- Understand optimization models, techniques and tools (Gurobi, Coupa, etc.)
- Experience in Network optimization / Transportation opt
- Experience in Data science, machine learning or optimization models (linear programming)
- Experience in Python, SQL or R for model development
- Knowledgeable in handling large set of data, databases, data warehouse design, cloud storage and ETL best practices.
- Experience with BI tools like PowerBI and Tableau
- Experience in data pipelines developments and systems such as SQL, Maria DB etc..

**Preferred Requirements**:

- Experience in data science/ops research experience preferably within the supply chain / logistics industry, demand planning, CPG industry and/or retail replenishment.
- Master’s Degree in Statistics, Operations Research, D