Data Scientist Leader

15 hours ago

Delhi, Delhi, India beBeeDataScience Full time US$ 2,00,000 - US$ 2,50,000
Leading Data Science Expert

The Senior Manager Data Science will oversee a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization.

Key Technical Contributions:

  • Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems.
  • Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models.
  • Understand end-to-end data pipelines, including data collection, cleaning, transformation, and visualization.

Team Leadership & Development:

  • Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative and innovative environment.
  • Provide guidance on career development, performance evaluations, and skill enhancement.
  • Promote continuous learning and adoption of best practices in data science methodologies.

Strategic Planning & Execution:

  • Collaborate with senior leadership to define the data science strategy aligned with business objectives.
  • Identify and prioritize high-impact analytics projects that drive business value.
  • Ensure the timely delivery of analytics solutions, balancing quality, scope, and resource constraints.

Client Engagement & Stakeholder Management:

  • Serve as the primary point of contact for clients, understanding their business challenges and translating them into data science solutions.
  • Lead client presentations, workshops, and discussions to communicate complex analytical concepts in an accessible manner.
  • Develop and maintain strong relationships with key client stakeholders, ensuring satisfaction and identifying opportunities for further collaboration.

Cross-Functional Collaboration:

  • Work closely with cross-capability teams such as Business Intelligence, Market Analytics, and Data Engineering to integrate analytics solutions into business processes.
  • Translate complex data insights into actionable recommendations for non-technical stakeholders.
  • Facilitate workshops and presentations to promote data-driven conversations across the organization.

Governance & Compliance:

  • Ensure adherence to data governance policies, including data privacy regulations.
  • Implement best practices for data quality, security, and ethical use of analytics.

Requirements:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 12+ years of experience in advanced analytics, data science, data modeling, machine learning, Generative AI, or a related field with 5+ years in a leadership capacity.
  • Proven track record of managing and delivering complex analytics projects.
  • Familiarity with the BFSI/Hi-Tech/Retail/Healthcare industry and experience with product, transaction, and customer-level data.

Desirable Attributes:

  • Proficient in the following advanced analytics techniques:
  • Descriptive Analytics: Statistical analysis, data visualization.
  • Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling.
  • Prescriptive Analytics: Optimization, simulation modeling.
  • Text Analytics: Natural Language Processing (NLP), sentiment analysis.

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