Data and AI PH – Associate Manager Data Scientist
6 days ago
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
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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