Data and AI PH – Associate Manager Data Scientist at DXC Technology

Taguig City, National Capital Region, Philippines

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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 (or 8+ years total experience without a degree)
Proven track record of delivering impactful data science solutions in enterprise environments
Experience working with large-scale structured and unstructured data
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)
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

Responsibilities

Lead end-to-end data science projects from problem definition to deployment and monitoring
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
Provide advisory and consultation services to determine the right solution
Participate in Technical/Work product Reviews
Contribute to knowledge tools and communities, and ensure project learnings are documented and shared
Promote knowledge sharing and re-use within practice or profession
Mentor junior team members, providing technical assistance and constructive feedback
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
Document methodologies, workflows, and model assumptions for transparency and reproducibility
Ensure compliance with data governance, privacy, and ethical AI standards

Skills

Key technologies and capabilities for this role

Machine LearningPredictive ModelsClassification AlgorithmsFeature EngineeringExploratory Data AnalysisModel TuningData PipelinesMLOpsStatistical Techniques

Questions & Answers

Common questions about this position

What experience and education are required for this Data Scientist role?

Candidates need 5+ years of professional experience as a Data Scientist or AI/ML Engineer and a Bachelor's degree in computer science or related field; without a degree, 8+ years total experience is required.

What technical skills are essential for this position?

Key skills include proficiency in Python, R, SQL, and libraries like scikit-learn, TensorFlow, PyTorch; strong knowledge of statistical modeling, machine learning, deep learning, NLP, GenAI; experience with cloud platforms (Azure, GCP, AWS preferred), LLMs, RAG, LangChain, data visualization tools, and MLOps practices.

What soft skills are needed for the Associate Manager Data Scientist role?

Required soft skills include strong problem-solving and critical thinking, ability to manage multiple projects and prioritize, collaborative mindset with proactive stakeholder engagement, and excellent communication and storytelling skills.

What does the company culture emphasize in this role?

The role emphasizes mentoring junior team members, fostering continuous learning and experimentation, knowledge sharing, collaboration with stakeholders, and contributing to team reviews and communities.

What makes a strong candidate for this Data Scientist position?

A strong candidate has a proven track record of delivering impactful data science solutions in enterprise environments, experience with large-scale data, and the ability to lead end-to-end projects while mentoring others.

DXC Technology

IT services for enterprise modernization and management

About DXC Technology

DXC Technology provides IT services to large enterprises, focusing on modernizing their critical systems and operations. The company uses the Enterprise Technology Stack to enhance IT infrastructure, optimize data architectures, and ensure security across various cloud environments, including public, private, and hybrid. DXC operates on a contractual basis, offering consulting, system integration, and managed services to help clients improve their IT operations. What sets DXC apart from competitors is its strong commitment to innovation, sustainability, and corporate responsibility, which has earned it recognition as one of the Most Responsible Companies. The goal of DXC Technology is to be a trusted partner for enterprises, helping them achieve scalable and secure IT solutions while promoting inclusion and diversity within its workforce.

McLean, VirginiaHeadquarters

2017Year Founded

$14.6MTotal Funding

IPOCompany Stage

Consulting, Enterprise SoftwareIndustries

10,001+Employees

Risks

Emerging IT service providers offer cost-effective solutions, threatening DXC's market share.

Rapid technological changes may outpace DXC's innovation, risking service obsolescence.

Economic downturns could reduce IT spending, impacting DXC's long-term contract revenue.

Differentiation

DXC Technology is a Fortune 500 global IT services leader.

The company specializes in modernizing mission-critical systems for large enterprises.

DXC's Enterprise Technology Stack ensures security and scalability across cloud environments.

Upsides

DXC is recognized as a leader in the 2024 Magic Quadrant for Outsourced Digital Workplace Services.

The Quercus AI platform collaboration with Ferrovial and Microsoft enhances DXC's innovation capabilities.

DXC's role in transforming Italy's healthcare sector showcases its expertise in digital transformation.

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