
Senior Manager – Data science, data modelling and analytics
3 days ago
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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