Manager - Lead Data Scientist

Job Description:

• 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.

• Collaborate closely with data engineers, analysts, and business stakeholders to define requirements and translate them into analytical solutions.

• Qualifications & Experience:
  Education and Experience:

• 8+ 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 (10+ 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

• Strong understanding and execution of statistical concepts (correlation, confidence interval, time series forecasting, linear regression etc.)

• 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, Pyspark

• 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

• Databricks Data Scientist professional

• Google Professional Machine Learning Engineer

• AWS Certified Machine Learning

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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