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61 Databricks Principal Data Scientist Jobs Hiring Near You

TradeStation

Principal Data Scientist

The Principal Data Scientist will write clean, production-grade code, stay genuinely curious about ... Data Platform Proficiency -- hands-on experience with Databricks, Spark, or Snowflake; able to ...

Microsoft AI

Principal Data Scientist

Redmond, WA · On-site

Microsoft AI is inviting applications for the role of Principal Data Scientist within their Advertising Data Science Team. The successful candidate will be responsible for defining metrics, designing ...

Autodesk, Inc.

Principal Data Scientist

San Francisco, CA · On-site

$135K - $242K/yr

The Principal Data Scientist will work within an Engineering team focused on building frameworks to evaluate AI Systems. This is a critical data science role for our agentic product platform-a next ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct ... Databricks including Delta Lake, Data Warehouse, Data Mart and others to support the data science ...

Formation Bio

Principal Data Scientist

New York, NY

$204K - $267K/yr

About the Position As a Principal Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead ...

Home Depot

Principal Data Scientist, Online

Atlanta, GA · On-site

The Principal Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the ...

Microsoft AI

Principal Data Scientist

Mountain View, CA · On-site

Microsoft AI is inviting applications for the role of Principal Data Scientist within their Advertising Data Science Team. The successful candidate will be responsible for defining metrics, designing ...

Zillow

Principal Data Scientist - Rentals Shopping

$169K - $270K/yr

We are seeking a Principal Data Scientist to serve as the data science lead for the Rentals ... Databricks or Snowflake. * Product and business impact: Proven track record of shaping long-term ...

1872 Consulting

Principal Data Scientist

Principal Data Scientist WFH - CA, TX, AZ, GA, NV, UT Next Best Recommendation is an engine that generates actionable suggestions for our client-facing employees, primarily relationship managers and ...

Walmart

Principal, Data Scientist

Johnson, AR · On-site

$110K - $220K/yr

About the Role We are looking for a Principal Data Scientist to lead high-impact initiatives within Walmart's Decision Science organization. This role is centered on building scalable, end-to-end ...

Walmart

Principal, Data Scientist

Lowell, AR

$110K - $220K/yr

About the Role We are looking for a Principal Data Scientist to lead high-impact initiatives within Walmart's Decision Science organization. This role is centered on building scalable, end-to-end ...

Walmart

Principal, Data Scientist

Pea Ridge, AR

$110K - $220K/yr

About the Role We are looking for a Principal Data Scientist to lead high-impact initiatives within Walmart's Decision Science organization. This role is centered on building scalable, end-to-end ...

Autodesk

Principal Data Scientist

San Francisco, CA

$135K - $242K/yr

The Principal Data Scientist willwork within an Engineering team focused on buildingframeworksto evaluateAI Systems.This is acriticaldata science role for our agentic product platform-anext ...

Walmart

Principal, Data Scientist

Springdale, AR

$110K - $220K/yr

About the Role We are looking for a Principal Data Scientist to lead high-impact initiatives within Walmart's Decision Science organization. This role is centered on building scalable, end-to-end ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
What other companies are hiring for Principal Data Scientist jobs?
What are the most popular jobs at Databricks?
What are the most popular categories at Databricks?
Infographic showing various Principal Data Scientist job openings at Databricks in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, and 12% Remote job distribution.

Principal Data Scientist

TradeStation

Remote

Full-time

PTO

Posted 3 days ago

Job description

#WeAreTradeStation
Remote Position - must reside in Florida, Texas, Illinois, New York, New Jersey, Colorado, Idaho, Massachusetts, Michigan, Minnesota, Missouri, North Carolina, South Carolina, Utah or Virginia
Who We Are:
TradeStation is the home of those born to trade. As an online brokerage firm and trading ecosystem, we are focused on delivering the ultimate trading experience for active traders and institutions. We continuously push the boundaries of what's possible, encourage out-of-the-box thinking, and relentlessly search for like-minded innovators.
At TradeStation, we are building an AI-First culture. We expect team members to embrace AI as a core part of their daily workflow, whether that’s using AI to accelerate development, enhance decision-making, improve client outcomes, or streamline internal processes. We hire, grow, and promote people who can harness AI responsibly and creatively. We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ensure AI is used ethically, securely, and transparently. If you join us, you’re joining a culture where AI is how we work.
Are you ready to make yourself at home?
What We Are Looking For:
We're seeking a Principal Data Scientist to help design, build, and deploy advanced analytics and machine learning solutions that power TradeStation's trading platform, client experience, and business operations. Reporting to the Sr. Director of AI, Data Science amp; Enterprise Data, this role will own the full data science lifecycle — from exploratory analysis and model development through production deployment and ongoing monitoring.
This role is for a self-directed practitioner who thrives without hand holding. The ideal applicant will proactively identify opportunities where data science can create meaningful impact, build the solutions, and iterate rapidly. The Principal Data Scientist will write clean, production-grade code, stay genuinely curious about emerging AI and ML techniques, and independently learn new tools before being asked to. The applicant should be equally at home in a Jupyter notebook and a production ML pipeline.
This role will work closely with Product, Engineering, Compliance, and Analytics teams to build predictive models, behavioral analytics, and AI-powered capabilities that give TradeStation a competitive edge.
What You’ll Be Doing:
Modeling amp; Machine Learning
  • Own the end-to-end ML lifecycle — from problem framing and feature engineering through model training, validation, deployment, and ongoing performance monitoring
  • Help build and deploy predictive models across a range of use cases including customer behavior, fraud and anomaly detection, trade surveillance, risk modeling, and personalization
  • Design and implement real-time and batch ML pipelines that operate reliably at scale in production environments
  • Develop behavioral anomaly detection and pattern recognition systems using statistical and deep learning approaches
  • Apply NLP and LLM techniques to extract insights from unstructured data — trade notes, client communications, market commentary, and internal documentation
Analytics amp; Visualization
  • Translate complex data into clear, compelling visualizations and narratives for both technical and executive audiences
  • Help design and build dashboards and analytical tools that empower stakeholders to make faster, more informed decisions
  • Conduct exploratory data analysis to surface trends, anomalies, and opportunities across trading behavior, customer segments, and platform performance
  • Define, track, and interpret key business and model performance metrics; proactively surface meaningful insights without waiting to be asked
AI Integration amp; Innovation
  • Stay at the forefront of AI and ML research — continuously evaluate and adopt emerging techniques (GenAI, RAG, agents, multimodal models) where they create real business value
  • Leverage AI tools (Claude, LLMs, foundation models) to accelerate your own development workflow, from code generation to documentation to data profiling
  • Experiment rapidly with new approaches; fail fast, iterate, and bring winning solutions to production
  • Contribute to TradeStation's AI governance standards by ensuring models are interpretable, fair, and deployed responsibly
Strategic Impact amp; Communication
  • Partner with Product and Engineering to define the data and modeling requirements for new platform features
  • Work with Compliance and Risk teams to build surveillance and monitoring systems that meet regulatory requirements
  • Communicate results and recommendations clearly to non-technical stakeholders; translate business questions into rigorous analytical frameworks
The Skills You Bring:
  • Self-Starter amp; Independent Learner —proactively identify problems worth solving, learn new techniques without being prompted, and drive projects to completion without needing direction
  • Full-Stack Data Science — proven ability to own the complete lifecycle: problem definition, data wrangling, feature engineering, modeling, deployment, and monitoring in production environments
  • Machine Learning Depth — strong command of supervised, unsupervised, and reinforcement learning methods; experience with time series, anomaly detection, NLP, and deep learning; know when to use simple models and when to go complex
  • Software Engineering Fundamentals — writes production-quality Python; comfortable with version control (Git), containerization (Docker), and MLOps best practices; code that others can maintain
  • Data Platform Proficiency — hands-on experience with Databricks, Spark, or Snowflake; able to write and optimize complex SQL; understands data modeling and pipeline design
  • Visualization amp; Storytelling — ability to build polished, insight-driven visualizations and dashboards (Tableau, Power BI, Plotly, Sigma); presents data science work in business terms
  • AI-Native Workflow — actively uses AI tools (Claude, Copilot, LLMs) in day-to-day work; has hands-on experience with LLM APIs, prompt engineering, or GenAI application development
  • Statistical Rigor — solid grounding in probability, statistics, and experimental design; applies A/B testing and causal inference correctly; doesn't overfit spurious signals
  • Cross-Functional Collaboration — comfortable working across Product, Engineering, Compliance, and Analytics; can present findings to executives and translate business requirements into analytical solutions
  • Financial Services Domain— experience with trading data, market microstructure, customer behavior in financial platforms, fraud detection, or regulatory compliance analytics strongly preferred
  • Experience building and monitoring ML models in production using MLflow, SageMaker, Vertex AI, or similar MLOps platforms preferred
  • Hands-on experience with LLM APIs, RAG architectures, or AI agent frameworks preferred
  • Track record of self-directed learning — personal projects, open-source contributions, Kaggle competition history, technical writing, or conference presentations preferred
  • Experience with fraud detection, behavioral anomaly detection, trade surveillance, or risk modeling in financial services preferred
  • Familiarity with real-time streaming data (Kafka, Spark Streaming) and low-latency model serving preferred
  • Experience with cloud ML infrastructure (Azure, AWS, or GCP) and distributed computing preferred
Minimum Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • 7+ years of experience in data science or applied machine learning roles, with demonstrated ownership of models deployed to production
Desired Qualifications:
  • Master's or PhD in a quantitative discipline
What We Offer:
  • Collaborative work environment
  • Competitive Salaries
  • Yearly bonus
  • Comprehensive benefits for you and your family starting Day 1
  • Unlimited Paid Time Off
  • Flexible working environment
  • TradeStation Account employee benefits, as well as full access to trading education materials
  • Pay Range (US) $140-180K (Countries outside of the US have differing ranges in accordance with local labor markets)
TradeStation provides equal employment opportunities to current and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, sexual orientation, age, pregnancy, disability, handicap, citizenship, veteran or marital status, or any other legally recognized status entitled to protection under federal, state, or local anti-discrimination laws.

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