Offer summary

Qualifications:

Bachelor’s degree in a quantitative field such as statistics, mathematics, or computer science., 1-4 years of related experience in a data role., Strong skills in Python for data manipulation and modeling., Expertise in SQL for querying and building data pipelines..

Key responsibilities:

Collect, analyze, and synthesize insights from diverse data sources to drive strategic business decisions.

Translate complex technical findings into actionable insights for non-technical stakeholders.

Collaborate on the development and deployment of machine learning models from ideation to production.

Create and maintain comprehensive documentation for data processes, ensuring knowledge sharing.

Job description

#WeAreTradeStation

Who We Are:

TradeStation is an online brokerage firm seeking to level the playing field for self-directed investors and traders, empowering them to claim their individual financial edge. At TradeStation, we're continuously pushing the boundaries of what's possible, encouraging out-of-the-box thinking and relentless search for innovation.

What We Are Looking For:

We are looking for a skilled and motivated Data Scientist to join our Data Insights team. The ideal candidate will be able to manage multiple responsibilities including data manipulation in SQL, developing predictive models in Python, and communicating technical results to nontechnical audiences. All these responsibilities are intended to drive our business forward by improving the customer experience of our diverse product suite. This position will require strong technical skills, including exploratory data analysis, data visualization, statistical analysis, and predictive modeling. The Data Scientist will collaborate closely with cross-functional teams, including product management, data engineering, marketing, and sales to provide insights and support to drive product innovation and growth.

What You’ll Be Doing:

Collect, analyze, and synthesize insights from diverse data sources—internal and external—to drive strategic business decisions and improve outcomes
Clean, process, and transform data for various analytical and machine-learning purposes
Translate complex technical findings into actionable insights for non-technical stakeholders, empowering cross-functional decision-making
Frame and tackle open-ended business challenges using data-driven approaches, recommending solutions that align with business objectives
Collaborate on the development and deployment of machine learning models, from ideation to production
Develop, maintain, and optimize data pipelines for seamless data preparation and integration
Create intuitive dashboards and dynamic reports that deliver insights to cross-functional teams
Responsible for identifying and implementing rigorous data validation processes to monitor and enhance data accuracy and reliability
Define and track metrics for new product or feature launches, ensuring clear benchmarks for success
Continuously explore advancements in data science, machine learning, and AI to bring innovative solutions to the team
Create and maintain comprehensive documentation for data processes, ensuring knowledge sharing and sustainability
Collaborate with teams to understand data analysis projects, purpose, focus, and objectives

The Skills You Bring:

A passion for uncovering insights in big data and translating them into compelling narratives that drive action
Strong skills in Python for data manipulation and modeling
Expertise in SQL for querying, transforming, and building data pipelines
Experience with data visualization and dashboard tools such as Power BI, Looker, Sigma, or Tableau to deliver intuitive insights
A track record of driving ambiguous tasks to completion, leveraging problem-solving skills and resourcefulness
Experience in building and deploying predictive models to drive business insights and decision-making
A solid understanding of equities, options, and futures markets, enabling you to contextualize analysis within financial frameworks preferred
Experience handling customer data from CRM and marketing tools preferred
Experience with cloud platforms like AWS, Azure, or Google Cloud preferred
Experience using Databricks or Snowflake to perform data queries, manipulation, and basic analysis preferred

Minimum Qualifications:

Bachelor’s degree in a quantitative field such as statistics, mathematics, computer science
1-4 years of related experience in a data role

Desired Qualifications:

Master’s degree preferred

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) $90-115K (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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