Senior Data Science Specialist

Job Summary

Job Title: Data Scientist Lead Experience: 12+ Years Location: Noida / Hyderabad Role Overview We are seeking a highly experienced Data Scientist Lead with 12+ years of expertise in advanced analytics, machine learning, and data-driven decision-making. The ideal candidate will lead the data science practice, drive innovation, and build scalable AI/ML solutions that deliver business value across the organization. Key Responsibilities Lead the design and implementation of advanced analytics, machine learning, and AI solutions Define and execute the data science strategy and roadmap Develop and deploy predictive models, forecasting solutions, and optimization algorithms Collaborate with business stakeholders to identify opportunities and translate them into data science solutions Lead end-to-end model lifecycle (data collection, feature engineering, training, validation, deployment, monitoring) Drive adoption of data-driven decision-making across business units Build and mentor a team of data scientists and analysts Ensure best practices in model governance, explainability, and ethical AI Work closely with data engineering teams to build scalable data pipelines and feature stores Implement MLOps frameworks for model deployment and monitoring Evaluate and adopt new AI/ML tools, frameworks, and technologies Present insights and recommendations to senior leadership and stakeholders Required Skills & Qualifications Core Data Science Expertise Strong experience in: Machine Learning (Supervised & Unsupervised) Statistical modeling and hypothesis testing Predictive analytics and forecasting Hands-on experience with: Python (mandatory): Pandas, Num Py, Scikit-learn, Tensor Flow / Py Torch R / SAS (optional but preferred) Advanced Analytics & AI Experience with: Deep learning (CNN, NLP models, etc.) – good to have Time series forecasting and optimization techniques Strong knowledge of: Feature engineering and model evaluation metrics Big Data & Cloud Experience working with: Big data frameworks (Spark / Hadoop) Hands-on experience with cloud platforms: Azure / AWS / GCP Familiarity with: Databricks / ML platforms / AutoML tools Data Engineering & Integration Strong understanding of: Data pipelines, ETL/ELT processes Data warehousing concepts Ability to work with structured and unstructured data MLOps & Deployment Experience in: Model deployment using APIs, containers (Docker), Kubernetes CI/CD pipelines for ML workflows Knowledge of: Model monitoring, drift detection, and retraining strategies Data Visualization & Communication Experience with: Power BI / Tableau / Python visualization libraries (Matplotlib, Seaborn) Strong ability to translate complex insights into business-friendly narratives Leadership & Management Skills Proven experience in leading data scie

Key Responsibilities

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Skill Requirements

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Other Requirements

teams and projects

Ability to define analytics strategy and drive execution

Strong stakeholder engagement and business alignment skills

Experience in mentoring and building high-performing teams

Soft Skills:

Strong analytical and critical thinking ability

Excellent communication and presentation skills

Ability to influence decision-making at leadership levels

Problem-solving mindset with innovative thinking

Education:

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field

PhD (preferred but not mandatory)

Preferred Qualifications:

Experience in enterprise-scale AI/ML implementations

Exposure to domain-specific analytics (Finance, Retail, Telecom, Healthcare, etc.)

Certifications in:

Machine Learning / Data Science

Cloud platforms (Azure/AWS/GCP)

Why Join Us:

Opportunity to lead enterprise-wide AI and data science initiatives

Work on cutting-edge machine learning and advanced analytics projects

Drive innovation and shape the data science strategy