Cognira: Provides AI-powered promotion management and planning software for retailers.
5+ YOE5+ years Python data science experience (Pandas, PySpark, NumPy), strong ML/AI and quantitative skills, excellent communications, ability to produce maintainable code and work with clients.
Python, Pandas, PySpark, NumPy, git, Jira, Spark, Kubernetes, Linux
3+ YOEDegree in CS/Robotics or equivalent experience; several years in data engineering/robotics; strong Python (Pandas, NumPy); experience with large time-series and imagery datasets; ability to travel for field/flight tests.
Morgan StanleyNYSE: MS: Provides global investment banking, wealth management, and advisory services.
1+ YOEMaster's in CS/CE or related required; 1+ year relevant experience; proficiency with Python, NumPy, pandas, Matplotlib, scikit-learn; TensorFlow or PyTorch; data processing, ML algorithms, and strong math/statistics skills.
UKG: Provider of workforce management and human capital management software.
5+ YOEPhD+5 years or Master’s+10 years in data science; expertise in generative/agentic AI, LLMs, deep learning, forecasting, Python, PyTorch/TensorFlow, Pandas/NumPy, SQL, and cloud ML (GCP/BigQuery).
Intercontinental ExchangeNYSE: ICE: Operates global financial exchanges, clearing houses, and mortgage technology.
U.S. citizens only. Bachelor's degree in CS/Statistics/Math/Data Science (Master's preferred). Proficiency in Python, R, SQL, pandas, NumPy, scikit-learn, SSMS, Databricks or Snowflake, and visualization tools; strong analytical and communication skills.
Python, R, SQL, pandas, NumPy, scikit-learn, SSMS, Databricks, Snowflake, Sigma, Tableau, Power BI
Alpharetta or Boston or Chicago or Cincinnati or Dallas or Charlotte or Richards
$93k-$155k/yrHybridFull Time
KemperNYSE: KMPR: Provides specialized auto, life, and health insurance services.
2+ YOEGraduate degree in a STEM field with 2+ years of data science experience; strong Python and SQL skills; statistical and ML experience; communication and independent problem-solving skills.
RELXLondon Stock Exchange: REL: Provides information-based analytics and decision tools for professional customers.
3+ YOEBachelor's in a quantitative field or equivalent experience; 3+ years manipulating large datasets and applying ML/ statistical methods; strong Python/R/SQL skills; experience with credit or insurance data preferred.
BlackRockNYSE: BLK: Provides investment management and financial technology services globally.
15+ YOE15+ years in data engineering or database architecture with leadership experience; Snowflake, cloud (AWS/Azure), SQL, Python, PostgreSQL, and ML tooling experience required.
6+ YOE6+ years in data science/ML, advanced Python and data libraries, strong SQL, experience delivering production-grade models, LLM/AI enablement, and data quality/model governance expertise.
LexisNexis Risk SolutionsNYSE: RELX: Provides data and analytics for risk management and compliance.
3+ YOE3+ years experience in data manipulation and ML, strong statistical/modeling skills, expertise with Python/R/SQL, experience with large distributed datasets, insurance or credit-data experience preferred.
Python, R, SQL, pandas, scikit-learn, NumPy, XGBoost, PyTorch, Pyspark, ECL, Scala, Azure ML Services, AWS ML Services
Smarsh: Provides digital communication archiving and compliance software.
Expertise in NLP/LLM and financial compliance, experience designing and deploying transformer models, strong statistics and ML knowledge, familiarity with listed ML frameworks and cloud platforms, and ability to mentor junior staff.
Pricing- Manager, Data & Analytics, Business & Operations
Marietta, Georgia, United States
OnsiteFull Time
BlueLinxNYSE: BXC: Distributes building and industrial products across the United States.
Hands-on analytics leader for pricing with advanced Power BI and Python skills, experience in pricing/revenue management, dashboard governance, and cross-functional stakeholder leadership.
Omnissa: Provides AI-driven digital workspace and endpoint management software solutions.
5+ YOE5+ years in data science/ML; proficient in Python; experience with AI/ML frameworks; LLMs, NLP, RAG; cloud, distributed computing; strong collaboration.
Datavault AINasdaq: DVLT: AI-driven data management, valuation, and event technology solutions.
3+ YOE3+ years data science/ML experience, strong Python and statistics skills, experience evaluating LLM systems, SQL/PostgreSQL proficiency, and ability to design rigorous evaluation corpora and metrics.
San Francisco or Ottawa or Phoenix or Toronto or Los Angeles or Denver or Salt Lake City or Atlanta or Chicago or Houston or Portland or New York City or Vancouver or San Diego or Washington, D.C. or Sacramento or Jacksonville or Seattle or Mexico City or Austin or Miami or Boston or Dallas
$97k-$184k/yrHybridFull Time
Scribd: Subscription-based digital library for e-books, audiobooks, and documents.
3+ YOE3+ years building and deploying ML models at scale, proficiency in Python, SQL/PySpark, Spark/Databricks, experience with NLP, deep learning and generative models, BS/MS in quantitative field.
EquifaxNew York Stock Exchange: EFX: Provides consumer credit reporting and data analytics services globally.
7+ YOE2+ MgmtMaster's/PhD in quantitative field,7+ years building and deploying production ML/AI solutions, fraud or credit risk experience preferred, Python/SQL/cloud and ML frameworks expertise, mentoring and technical leadership experience.
ZeroRFI: AI-powered intelligence platform for the built environment.
3+ YOEMaster's/PhD or equivalent, 3+ years building and deploying ML models, deep learning and computer vision expertise, strong software engineering and MLOps experience.
Lead Data Scientist (GenAI) (Atlanta, GA, US, 30308)
Atlanta, Georgia, United States
HybridFull Time
Norfolk SouthernNYSE: NSC: Operates a freight rail transportation network in the United States.
4+ YOEBachelor's in CS/data science or related field required; 4+ years data science/ML/NLP experience; experience building, fine-tuning, and operationalizing LLMs; proficiency in Python, ML frameworks, vector DBs, cloud platforms, and MLOps.