Data Science Manager

MathCo; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

MathCo is seeking a Manager-Data Science in Bengaluru to lead data science initiatives, coordinate cross-functional teams, and ensure timely, high-quality delivery of complex analytics projects. You will work closely with clients, stakeholders, and internal teams to translate business needs into actionable data-driven solutions.

The role requires advanced Python/SQL, statistical knowledge, and experience with real-world evidence datasets; a strong emphasis on leadership, planning, and quality

Qualifications

• Leadership and people management experience.

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.

Skills

Leadership

Stakeholder management

Problem solving

Communication

Team coaching

Tools

Python

SQL

Tableau

PowerBI

Seaborn

Matplotlib

Cloud Platforms

Job description

As Manager-Data Science, you will be responsible for a wide range of

engagements listed below:

• 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.

Required Skills (Must have):

Tech

• Advanced programming knowledge in Python and SQL.


• Advanced knowledge in Probability and Statistics, including hypothesis testing.


• Advanced knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them.


• Knowledge of data visualization technologies like Tableau, and PowerBI, and comfortable using relevant libraries in Python like seaborn and matplotlib.


• Experienced in modern development tools and writing code collaboratively.


• Intermediate knowledge of Cloud technologies and experience in developing data science solutions in one or more cloud platforms.


• Experience working with patient level data such as hands-on experience with RWE datasets such as Optum, Komodo, IQVIA Claims in depth


• Experience working on Real World Evidence Use cases such as patient journey, Identifying Adherence, Drop-offs, Productivity and Days on therapy and Survival analysis Sequence model for


• Ability to understand and solution for Pharmaceutical and Lifesciences analytical and business solutions

Non Tech:

• Ability to recognize and pursue pragmatic alternatives vis-à-vis a perfect solution, balancing priorities of time with potential business impact.


• Plan projects, break them down across individual data scientists in the team, track their performance and manage risk.