About the Role:

Grade Level (for internal use):

10

The Role: 

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 to ajinnovate and build data 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, and maintains a 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 organization’s unified data into scalable, production-grade data products—enabling accurate forecasting, early anomaly detection, and smarter risk decisions that directly improve operational efficiency and financial outcomes. 

By combining modern lakehouse architecture with AI/ML, it empowers internal teams with self-service insights while delivering faster, more reliable, and data-driven solutions to clients—enhancing trust, competitiveness, and market responsiveness. 

What’s in it for you:  

• Opportunity to design and own a modern, end-to-end Databricks lakehouse platform, 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 growth environment with hands-on experience in cutting-edge technologies 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:  

Typically, you’ll bring 7+ years of experience in data engineering, Machine Learning and building production-grade data pipelines and platforms in a cloud environment. A Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field is required; a Master’s degree is a plus. 

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

Responsibilities:  

Data Platform & Architecture   

- Architect data lake/lakehouse platforms 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/microservices architecture that integrates with web front ends and APIs. 

ELT/ETL & Pipeline Engineering 

- Design, build, and optimize batch 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 Forest, XGBoost, 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 and summarized insights 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. 

What We’re Looking For:  

Core Data & Engineering   

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

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

- Hands-on PySpark for 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) and lakehouse architectures. 

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

- Experience designing/operating microservices exposing REST/gRPC APIs 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 Forest, XGBoost, 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 and drift. 

- 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 of authentication, 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 responsibility—from design/implementation to monitoring and 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.

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're 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 all.From 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. We’re 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 world's 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 can take care of business. We care about our people. That’s why we provide everything you—and your career—need 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: It’s 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 awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged 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.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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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: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal

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20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)