About the Role:

Grade Level (for internal use):

TheRole:

Data Scientist III

The Team:

We are a central data and reporting function that gathers all organizational data spanning from financial to inventory. This unique position allows our team toajinnovateandbuilddata products and solutions for internal stakeholders including applying AI and Machine Learning to our comprehensive datasets. We foster a collaborative environment where continuous learning is encouraged and team members regularly share knowledge about the latest AI developments and methodologies. The team values experimentation data-driven decision making andmaintainsa culture of intellectual curiosity where interns are mentored by experienced practitioners and given meaningful projects that contribute to real-world applications.

The Impact:

This role is critical because it turns the organizations unified data into scalable production-grade data productsenablingaccurateforecasting early anomaly detection and smarter risk decisions that directly improve operational efficiency and financial outcomes.

By combining modernlakehousearchitecture with AI/ML it empowers internal teams with self-service insights while delivering faster more reliable and data-driven solutions to clientsenhancing trust competitiveness and market responsiveness.

Whatsin it for you:

• Opportunity to design and own a modern end-to-end Databrickslakehouseplatform working at the intersection of data engineering architecture and applied AI/ML.

• High visibility role with exposure to senior stakeholders business leaders and decision-makers directly influencing strategy through data-driven insights.

• Strong growthenvironment with hands-on experience incutting-edgetechnologies and continuous learning through collaboration and mentorship.

• Chance to work on enterprise-wide high-impact data products with a global scope enabling innovation across diverse business domains and markets.

Years of Experience and Qualification:

Typicallyyoullbring7 years of experience in data engineering MachineLearningand building production-grade data pipelines and platforms in a cloud environment. ABachelors degree in Computer Science Engineering Statistics Mathematics or a related field isrequired; aMastersdegree is a plus.

Preferred qualifications include experience with Databricks/Spark andlakehousearchitectures along with relevant cloud certifications (e.g. Azure/AWS/GCP data engineering) or Databricks certifications.

Responsibilities:

Data Platform & Architecture

- Architect data lake/lakehouseplatforms for forecasting anomaly detection and BI/analytics using Databricks Spark and Delta-style patterns.

- Set and enforce engineering standards for data modeling integration and pipeline design across teams/products.

- Lead cloud event-driven/microservicesarchitecture that integrates with web front ends and APIs.

ELT/ETL & Pipeline Engineering

- Design build andoptimizebatch and event-driven ELT/ETL pipelines for analytical and operational workloads.

- Build ingestion/transformation flows aligned to bronze/silver/gold with validation CI/CD testing and observability baked in.

Advanced Analytics Forecasting & Anomaly Detection

- Implement scalable time-series forecasting training and inference across categories.

- Build model monitoring (RMSE/MAE/bias/coverage/residuals) with dashboards and automated alerts.

- Develop residual/outlier detection using Z-scores PELT change points and confidence-interval breach checks.

- Implement classification/risk-scoring models (e.g. Logistic Regression Random ForestXGBoost clustering HMMs) for anomaly classification and category risk.

Data Quality Schema & Drift Monitoring

- Automate data quality and schema validation (missing dates/targets type changes schema evolution allocation shifts).

- Detect drift in data and model behavior (e.g. allocation stability category mix changes).

- Deliver per-category anomaly flags andsummarizedinsights for decision-makers.

Leadership & Collaboration

- Provide technical leadership (code/design reviews mentoring knowledge sharing) for engineers and data scientists.

- Collaborate with product/UX/business to refine requirements prioritize work and plan roadmaps.

- Champion engineering excellence: quality performance and operational readiness.

WhatWereLooking For:

Core Data & Engineering

- Expert SQL (complex joins window functions performance tuning at scale).

- Strong Python for data processing APIs/microservices and analytics.

- Hands-onPySparkfor large-scale distributed processing and ETL/ELT.

- Solid data modeling (dimensional models star/snowflake schemas medallion design).

Data Platforms & Cloud

- Proven Databricks experience (notebooks jobs clusters Delta tables) andlakehousearchitectures.

- Strong grasp of cloud-native event-driven architectures (queues event buses serverless triggers) for data/ML workflows.

- Experience designing/operating microservices exposing REST/gRPCAPIs for forecasting and analytics.

Statistical Modeling & ML

- Hands-on production experience with time-series forecasting (ARIMA or similar).

- Applied anomaly detection/classification: residual analysis Z-score PELT Logistic Regression Random ForestXGBoost clustering HMMs.

- Familiarity with end-to-end predictive analytics including model validation and monitoring.

Monitoring Quality &MLOps

- Experience building monitoring for models/pipelines (metrics dashboards alerts) focused on error trends anddrift.

- Strong background in production data quality and schema monitoring including automated checks/guardrails.

- Familiar with CI/CD version control testing and observability for data/ML systems.

Web & Integration

- Experience integrating data/ML back-end services with web front ends (APIs payloads error handling).

-Understanding ofauthentication authorization and security for data/ML APIs in the cloud.

Soft Skills & Leadership Competencies

Technical Leadership: Lead design discussions set standards and mentor engineers/data scientists.

Stakeholder Management: Comfortable with product/business/UX; turn ambiguity into clear technical roadmaps.

Communication: Explain trade-offs/metrics to non-technical stakeholders; strong documentation habits.

Problem Solving: Analytical approach to data quality drift and performance issues; pragmatic solutions.

Ownership Mindset: Takes end-to-end responsibilityfrom design/implementation tomonitoringand improvement in production.

Collaboration & Coaching: Work cross-functionally support research teams/interns and elevate engineering/analytics maturity.

Adaptability & Curiosity: Iterate through MVPs experiment when justified and adapt to evolving priorities.

Whats In It For You

Our Mission:

Advancing Essential Intelligence.

Our People:

Were more than 35000 strong worldwideso were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. Were committed to a more equitable future and to helping our customers find new sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity Discovery Partnership

Throughout our history the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do bring a spirit of discovery to our work and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay retirement planning a continuing education program with a company-matched student loan contribution and financial wellness programs.

• Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones too with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awardssmall perks can make a big difference.

For more information on benefits by country visit: Hiring and Opportunity at S&P Global:

At S&P Global we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills experience and contributions. Our hiring practices emphasize fairness transparency and merit ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration we drive innovation and power global markets.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity color religion sex sexual orientation gender identity national origin age disability marital status military veteran status unemployment status or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability please send an email to:and your request will be forwarded to the appropriate person.

US Candidates Only:Know Your Rights: Workplace discrimination is illegal