Data Scientist Engineer Opportunity

2 weeks ago


Greenwich, Connecticut, United States Interactive Brokers Full time
Job Overview

Company Background:

Interactive Brokers Group, Inc., a leading global financial services company, has been at the forefront of trading innovation for over four decades. Headquartered in Greenwich, CT, USA, with offices in over 15 countries, we offer cutting-edge technology and client commitment to our clients worldwide.

We provide electronic brokerage services around the clock on various assets, including stocks, options, futures, currencies, bonds, and funds, to individual investors and institutions across more than 200 countries and territories.

Job Description:

This hybrid role involves working three days in the office and two days remotely, providing a perfect balance between teamwork and flexibility. As a Data Scientist Engineer, you will be responsible for ingesting and analyzing large amounts of raw information to improve business decision-making and create data products that extract valuable business insights.

You will lead the entire data analysis lifecycle, from transforming raw data to creating insightful visualizations and reports. This includes wrangling, cleansing, and transforming large datasets to prepare them for AI consumption. Additionally, you will develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models.

Key responsibilities include designing, developing, and implementing data pipelines, identifying valuable data sources, preprocessing structured and unstructured data, assisting with data labeling and tagging, analyzing large amounts of information to discover trends and patterns, presenting information using data visualization techniques, proposing solutions and strategies to business challenges, collaborating with engineering and product development teams, and performing feature engineering for AI applications.

Requirements:

To succeed in this role, you should possess a BS/MS/PhD in Computer Science, Engineering, or a relevant field, preferably with a graduate degree in Data Science or a quantitative field. A minimum of five years of experience as a Data Scientist or Data Analyst is required, along with expertise in data mining, machine learning, and operations research.

Proficiency in SQL and Python, with familiarity with ML frameworks and Java, is also essential. Experience with ELK Stack, business intelligence tools (e.g., Tableau), and data frameworks (e.g., Hadoop) is highly valued. Analytical mind, business acumen, and strong math skills are necessary for success in this position.

Benefits:

  • Competitive Salary:$124,000 - $170,000 per year, depending on experience
  • Annual performance-based bonus and stock grant
  • 401(k) retirement plan with competitive company match
  • Excellent health and welfare benefits, including medical, dental, and vision benefits
  • Paid time off and a generous parental leave policy
  • Daily company lunch allowance provided, and a fully stocked kitchen with healthy options for breakfast and snack
  • Corporate events, team outings, dinners, volunteer activities, and company sports teams
  • Education reimbursement and learning opportunities
  • Modern offices with multi-monitor setups

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