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Senior Manager – Data science, data modelling and analytics

Senior Manager – Data science, data modelling and analytics

ConfidentialDelhi, India
7 days ago
Job description

As a Senior Manager for data science, data modelling & Analytics, you will lead 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.

Job Description : Key Responsibilities

Hands-On Technical Contribution

  • 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.
  • Collaborate with IT and data engineering teams to integrate analytics solutions into production environments.
  • Provide thought leadership on solutions and metrics based on the understanding of nature of business requirement.

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.
  • Engage and manage a hierarchical team while fostering a culture of collaboration.

    • 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.
  • Manage client expectations, timelines, and deliverables, ensuring alignment with business objectives.
  • Develop and deliver regular reports and dashboards to senior management, market stakeholders and clients highlighting key insights and performance metrics.
  • Act as a liaison between technical teams and business units to align analytics initiatives with organizational goals.

    • Cross-Functional Collaboration

  • Work closely with cross capability teams such as Business Intelligence, Market Analytics, 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.
  • Closely working with support functions to provide timely updates to leadership on operational metrics.

    • Governance & Compliance

  • Ensure adherence to data governance policies, including data privacy regulations (e.g., GDPR, PDPA).
  • Implement best practices for data quality, security, and ethical use of analytics.
  • Stay informed about industry trends and regulatory changes impacting data analytics.

    • Qualifications

  • Education : Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Experience :
  • 12+ years of experience in advanced analytics, data science, data modelling, 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
  • Experience with media data will be advantageous
  • Technical Skills :
  • Proficiency in programming languages like Python, R, or SQL.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure).
  • Knowledge of machine learning frameworks and libraries.
  • Soft Skills :
  • Strong analytical and problem-solving abilities.
  • Excellent communication and interpersonal skills.
  • Ability to influence and drive change within the organization.
  • Strategic thinker with a focus on delivering business outcomes.

    • Desirable Attributes

    Proficient in the following advanced analytics techniques ( Should have proficiency in most)

  • Descriptive Analytics : Statistical analysis, data visualization.
  • Predictive Analytics : Regression analysis, time series forecasting, classification techniques, market mix modelling
  • Prescriptive Analytics : Optimization, simulation modelling.
  • Text Analytics : Natural Language Processing (NLP), sentiment analysis.

    • Extensive knowledge of machine learning techniques, including ( Should have proficiency in most )

  • Supervised Learning : Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others
  • Unsupervised Learning : K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others
  • Reinforcement Learning : Q-learning, deep Q-networks, etc.

    • Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents ( Good to Have )

  • Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives
  • Hyper parameter tuning
  • Prompt Engineering
  • Embedding & Vectorization
  • Fine tuning

    • Proficiency in data visualization tools such as Tableau or Power BI ( Good to Have )

    Strong skills in data management, structuring, and harmonization to support analytical needs (Must have)

    Location : Bengaluru

    Brand : Merkle

    Time Type : Full time

    Contract Type : Permanent

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    Skills Required

    Hadoop, Gcp, Power Bi, Spark, Tableau, Azure, Python, Sql, Aws

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