128 data scientist jobs at 76 companies in Newfane, NY
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Senior Data Scientist
Toronto, Ontario, Canada
OnsiteFull Time
Pacific Programming and Tech: Building scalable software systems for global enterprises.
3+ YOEAdvanced degree in computer science, statistics, mathematics, or related field; 3+ years as a data scientist; Python, SQL, and ML library proficiency; statistical modeling and machine learning expertise.
Project X: Provides data analytics consulting and systems integration services.
3+ YOE3-5 years hands-on experience as a Data Scientist; proficient in Python and SQL; experience with ML frameworks (scikit-learn, TensorFlow, PyTorch); familiarity with LLMs and AI APIs; cloud data pipelines; Snowflake experience; knowledge of vector databases and retrieval-augmented generation.
Omnicom GroupNYSE: OMC: Global holding providing marketing and communication services.
5+ YOE5+ years experience as data scientist/engineer, production ML, algorithms and large-scale data pipelines, reinforcement learning and optimization knowledge, experience with retail media/digital advertising preferred.
Python, Google Cloud Platform, Cloud Run, Vertex AI, BigQuery ML, Snowpark, sklearn, Pandas, keras, PyTorch, XGBoost, Claude Code
DAC Group: Global marketing agency providing data-driven enterprise-to-local digital strategies.
4+ YOESenior data scientist with 4-5 years of applied statistics, strong Python or R, SQL, Bayesian methods; able to lead client discussions and pitch proposals.
FGF Brands: A food manufacturing producing bakery and snack products.
3+ YOE3+ years in machine learning, data analysis, and visualization; programming with Python and named data packages; computer vision knowledge for manufacturing; engineering or analytical education.
Meridian Credit Union: Providing personal and business financial services and wealth management.
2+ YOERequires 2–4 years of data science and Microsoft technology experience, programming skills in Python or Java, machine learning and data mining knowledge, and strong analytical, communication, and collaboration skills.
Python, Java, SQL Server, T-SQL, Power BI, Microsoft Fabric, Microsoft Azure, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Microsoft Power Platform, Microsoft Copilot
Sonatype: Secures software supply chains and automates open source governance.
5+ YOE5+ years in applied data science, machine learning, AI engineering, or research; strong Python, ML/GenAI application development, LLM ecosystems, evaluation, Git, and communication skills.
Guideline: Provides advertising market intelligence and media planning software.
3+ YOE3+ years building data models and forecasts; proficiency in Python, data analytics, and machine learning; Bachelor's in CS or statistics or equivalent; strong communication; AWS/Snowflake experience a plus.
Sun LifeToronto Stock Exchange: SLF: Provides insurance, retirement, and asset management services globally.
5+ YOE5+ years developing and implementing data science techniques; proficiency in Python, SQL/PySpark, ML, GenAI, prompt engineering, and working with structured/unstructured data; bachelor's degree or equivalent.
Sun LifeNYSE: SLF: Provides insurance, wealth, and asset management solutions globally.
5+ YOEBachelor's in CS/Statistics/Math or equivalent; 5+ years developing data science solutions; proficient in Python, SQL, PySpark; experience with ML, GenAI, RAG, LLM APIs, and working with structured/unstructured data.
Peak Power: Software-driven energy optimization and battery storage solutions provider.
5+ YOE5+ years experience in data science/ML engineering or related roles; strong Python, time-series forecasting, MLOps, cloud and data-pipeline experience; Bachelor’s in CS/EE/Math or equivalent; experience with Airflow, Docker, and AWS.
MastercardNYSE: MA: Global payment processing and financial technology service provider.
Lead a small data science team and deliver production ML models for AML and crypto risk detection; hands-on Python, large-scale data experience, model governance, stakeholder collaboration; Bachelor's in a quantitative field or equivalent experience.
Valence: An AI-native enterprise coaching platform that provides personalized leadership guidance and support.
5+ YOERequires 5+ years in data analytics, a bachelor's degree in a quantitative field, SQL, Python or R, BI tools, and strong analytical and communication skills.
SQL, Python, Pandas, NumPy, Matplotlib, Seaborn, R, Tableau, Looker, Power BI, Microsoft Excel, Google Sheets, Mixpanel, Amplitude, AWS, GCP
Empire Life: Canadian provider of life, health, and investment insurance products.
2+ YOEMaster's in a quantitative field, 2+ years quantitative experience, strong Python and SQL skills, experience with ML/Generative AI (Azure OpenAI, OpenAI, Google for Generative AI), Snowflake, applied statistics, and experience in insurance/financial services preferred.
Microsoft Azure AI services, Microsoft Azure, Snowflake, OpenAI, Azure OpenAI, Google for Generative AI, Python, SQL
BMOTSX: BMO: Provides personal and commercial banking, investment, and wealth services.
5+ YOE5+ years experience; proficiency in SQL and Python, machine learning/deep learning, feature engineering, EDA, Pandas/NumPy/SciPy/scikit-learn; strong analytical, communication and collaboration skills.
New York City or Chicago or Boston or San Francisco or Palo Alto or Toronto
$130k-$150k/yrRemoteFull Time
Jerry: Mobile app for car insurance comparison and vehicle management.
2+ YOE2+ years at consulting, investment bank, or high-growth tech; strong analytics; comfortable with SQL or Python; clear communicator; ability to own ambiguous problems and drive impact.
TD BankToronto Stock Exchange: TD: Provide retail, commercial, and wholesale banking and financial services.
1+ YOEUndergraduate degree, 1+ year of analytical experience, advanced SQL and Python proficiency, machine learning model experience, data science tools knowledge, and strong communication skills.
SQL, Python, XGBoost, NumPy, pandas, matplotlib, R
DoorDashNYSE: DASH: Local food delivery and on-demand logistics platform.
3+ YOERequires 3+ years in data analytics, consulting, or a related role; SQL, Python or R, experimentation, statistical modeling, machine learning, visualization tools, and cross-functional project leadership.