Data Science Manager - Pharma
- Posted
- Employment
- full time
- Work mode
- unknown
Skills explicitly mentioned: Python, SQL, Data-Science, -Predictive-Modeling-Machine-learning, -Python, -Natural-Language-Processing, -Linear-Regression, python, sql
TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO. For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’. Roles & Responsibilities • Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project. • Develop a comprehensive project plan that aligns with the scope and objectives of the project. • Develop appropriate solution design that will help client achieve their goals. • Assign delivery team members to different activities suited to their individual skills. • Lead the execution of project activities according to the project plan. Monitor the project, track milestones, and adhere to agreed-upon timelines and scope. • Accountable for the delivery quality of the project in question. • Comply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores. • Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients. • Ensure compliance with best practices and established processes for quality assurance—for example, using quality assurance checklists, coding best practices, peer reviews, and documentation. • Provide both business and technical guidance to the delivery team. • Coach individuals in the team and build a high-performance workplace. • Establish an environment of mutual trust and respect and encourage the team to experiment with new delivery ideas. • Review the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc.