Data and AI PH – Associate Manager Data Scientist

Job Description
Strategic & Leadership Responsibilities

• Lead end-to-end data science projects from problem definition to deployment and monitoring
• Business Analysis: Translate business challenges into data science problems and propose optimal solutions
• Mentor junior data scientists and analysts, fostering a culture of continuous learning and experimentation
• Collaborate with stakeholders aligning data science initiatives with strategic goals
• Provides advisory and consultation services to determine the right solution
• Participates in Technical/Work product Reviews
• Contributes to knowledge tools and communities, and ensures project learnings are documented and shared
• Knowledge sharing and re-use within practice or profession
• Mentors junior team members, providing technical assistance and constructive feedback.

Technical Responsibilities

• Design, develop, and validate predictive models, classification algorithms, and other data science assets using statistical and machine learning techniques
• Perform exploratory data analysis, feature engineering, and model tuning to improve performance
• Build scalable data pipelines and integrate models into production environments in collaboration with data engineering and MLOps teams
• Evaluate model performance using appropriate metrics and ensure robustness, fairness, and explainability
• Stay current with advancements in AI/ML and recommend adoption of relevant technologies and methodologies

Operational Responsibilities

• Document methodologies, workflows, and model assumptions for transparency and reproducibility
• Ensure compliance with data governance, privacy, and ethical AI standards

Qualifications & Experience
Education and Experience:

• 5+ years of professional experience as a Data Scientist/ AI/ML Engineer and a Bachelor of Arts/Science or equivalent degree in computer science or related area of study; without a degree, three additional years of relevant professional experience (8+ years in total)
• Proven track record of delivering impactful data science solutions in enterprise environments
• Experience working with large-scale structured and unstructured data

Technical Skills

• Proficiency in Python, R, SQL, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost)
• Strong understanding of statistical modeling, machine learning, deep learning, NLP, GenAI
• Experience with cloud platforms (Preferred: Azure, GCP, AWS ) specifically cloud-based AI/ML tools and containerization tools (Docker, Kubernetes)
• Experience with LLMs, RAG, LangChain, Generative AI
• Knowledge of data visualization tools (Power BI, Tableau, Plotly)
• Familiarity with MLOps practices and tools (MLflow, Airflow, CI/CD pipelines)

Soft Skills

• Strong problem-solving and critical thinking abilities
• Ability to manage multiple projects and prioritize effectively
• Collaborative mindset with a proactive approach to stakeholder engagement
• Excellent communication and storytelling skills to convey complex insights to non-technical stakeholders
• Strong time management practice, able to prioritize project demands within the allocated time.
• Champion of continuous learning

Preferred Certifications

• Microsoft Certified: Azure Data Scientist Associate or Azure AI Engineer Associate
• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning

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