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
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Required Experience:
Manager
Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology boasts a long and proud history of innovation, service and value. In 1959, computer analysts Roy Nutt and Fletcher Jones pooled $100 to form CSC, providing computer manufac ... View more