Job DescriptionJob Responsibilities

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

Nengagements listed below:

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- Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project.
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- Develop a comprehensiveproject plan that aligns with the scope and objectives of the project.
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- Develop appropriate solution design that will help client achieve their goals.
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- Assign delivery team members to different activities suited to their individual skills.
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- Lead the execution of project activities according to the project plan.
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- Monitor the project, track milestones, and adhere to agreed-upon timelines and scope.
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- Accountable for the delivery quality of the project in question.
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- 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.
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- Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients.
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- Ensure compliance with best practices and established processes for quality assurance—for example, using quality assurance checklists, coding best practices, peer reviews, and documentation.
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- Provide both business and technical guidance to the delivery team.
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- Coach individuals in the team and build a high-performance workplace.
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- Establish an setting of mutual trust and respect and encourage the team to experiment with new delivery ideas.
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- Review the team's deliverables before sharing them with clients,



including codes, presentations, worksheets, emails, etc.
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nRequired Skills (Must have):

NTech

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- Advanced programming knowledge in Python and SQL.
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- Advanced knowledge in Probability and Statistics, including hypothesis testing.
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- Advanced knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them.
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- Knowledge of data visualization technologies like Tableau, and PowerBI, and comfortable using relevant libraries in Python like seaborn and matplotlib.
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- Experienced in modern development tools and writing code collaboratively.
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- Intermediate knowledge of Cloud technologies and experience in developing data science solutions in one or more cloud platforms.
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nPharma & RWE skillset:

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- Experience working with patient level data such as hands-on experience with RWE datasets such as Optum, Komodo, IQVIA Claims in depth
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- 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
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- Ability to understand and solution for Pharmaceutical and Lifesciences analytical and business solutions
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nNon Tech:

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- Ability to recognize and pursue pragmatic alternatives vis-à-vis a perfect solution, balancing priorities of time with potential business impact.
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- Plan projects, break them down across individual data scientists in the team, track their performance and manage risk.
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📌 Data Science Manager (Karnataka)
🏢 MathCo
📍 Karnataka