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Novartis

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4.1

based on 1.6k Reviews

272 Novartis Jobs

Associate Director Data Science

Novartis Healthcare Pvt. Ltd.

4.1

based on 1.6k Reviews

12-16 years

₹ 46.6 - 100L/yr (AmbitionBox estimate)

Hyderabad / Secunderabad

1 vacancy

Associate Director Data Science

Novartis

posted 4hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Data Analytics Talent Acquisition Clinical Data Management Analytical Chemistry Employee Engagement

+ 4 more

Job Description

We are seeking an Associate Director, Data Science to join our People Organization (PO) - Analytics Insights team. The roles primary purpose is to harness data science techniques to extract meaningful insights from diverse data sources, thereby guiding data-driven decision-making for PO partners and business stakeholders. This position aims to enhance our data science capabilities, develop predictive models, harmonize data, and help build scalable solutions across the enterprise to improve organizational and employee outcomes. The ideal candidate will possess strong analytical, predictive modelling skills and a passion for using data driven insights to support PO initiatives.

Key Responsibilities:

Data Analysis and Insight Generation: Leverage advanced data science techniques to analyze PO data, uncovering trends, insights, and actionable areas for improvement in key practices, such as talent acquisition, employee engagement, and retention.

Predictive Modeling: Develop and deploy sophisticated predictive models to support various PO initiatives, such as enhancing employee experience, optimizing talent acquisition strategies, refining workforce planning, and forecasting employee turnover. Identify and quantify factors that influence employee satisfaction and performance.

Machine Learning Applications : Utilize cutting-edge machine learning algorithms to refine PO processes, including predicting candidate hiring success, identifying high-potential employees, and automating routine tasks to increase efficiency.

Statistical Evaluation: Perform rigorous statistical analyses to assess the effectiveness and ROI of PO programs and initiatives, providing evidence-based recommendations for continuous improvement.

Collaborative Strategy Design : Partner with Analytics Insights/PTDI leadership to design, develop, and implement data-driven strategies that enhance workforce productivity, employee satisfaction, and overall organizational performance.

Communication : Create compelling data visualizations and present complex analytical findings to PO and executive leadership in an understandable and actionable manner. Translate data insights into strategic recommendations for stakeholders.

Data Innovation and Exploration : Continuously explore and evaluate new and diverse data sources for potential integration, aimed at driving innovation within PO analytics. Identify opportunities for leveraging emerging technologies and methodologies.

Compliance and Best Practices : Ensure all data science activities adhere to internal and external compliance requirements. Promote best practices in data management, model development, and analytical techniques within the team.

Product Development : Contribute to the development and scaling of minimum viable products (MVPs) to democratize data-driven solutions across the enterprise. Collaborate with cross-functional teams to integrate data science models into user-friendly applications.

Knowledge Sharing : Maintain thorough documentation of methodologies, model assumptions, and validation processes. Share technical expertise and mentor junior team members to build organizational knowledge and capacity in data science.

Essential Requirements:

Candidate who is independent, self-motivated, proactive, results-oriented and able to provide a high level of satisfaction through the delivery of insights.
Apart from day-to-day activities, the candidate is expected to be involved in strategic planning for the team (learning, new ways of doing delivery etc)
Technical expert with analytical acumen, relevant experiences and high degree of enthusiasm to adapt and learn in a fast-moving environment.
Embrace continual professional development, drive to take on new responsibilities and projects and work experiences with all PO teams.
Build influential relationships across the organization and partner with PO leadership to solve complex problems and provide data science support to effectively impact change.
Serve as a thought leader to Senior leadership and act as the voice of the analytics insights team to drive interests and alignment with cross functional business partners.

Desirable Requirement:

Proven experience in data analysis, machine learning, and statistical modeling. Proficiency in programming languages such as Python or R, and data visualization tools like Power BI.
Working experience in both unstructured and structured data involves utilizing techniques like Natural language processing, Deep learning, and LLMs.
Experience with or understanding of AI Ops, ML Ops, and LLM Ops would be advantageous. Knowledge of analytics best practices and methodologies. Strong problem-solving skills and the ability to work collaboratively in a team environment.
Excellent communication skills, with the ability to present complex data in an understandable manner. Project management skills and the ability to work with cross-functional teams.

Employment Type: Full Time, Permanent

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