Data Science Engineer

Omaha, NE

Spreetail Inc. logo
Spreetail Inc.
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Posted 2 weeks ago

Spreetail is an ecommerce company that connects brands with customers wherever they love to shop online. We delight our customers every day by putting our technology, marketing, and supply chain to work for them behind the scenes. Born and raised in Lincoln, Nebraska, Spreetail has grown into offices and fulfillment centers in 8 cities across 6 states.
Life at Spreetail
Working at Spreetail is a once-in-a-lifetime opportunity to help build one of the fastest-growing ecommerce companies in history. We take on challenges that others would call impossible because we have a team of amazing, talented people who collaborate and think bigger together. At Spreetail, you’ll create deep, personal connections and challenge yourself to achieve your most ambitious goals.

As a Sr. Data Science Engineer you will:

  • Build analytical models and algorithms that surface business insights at massive scale.
  • Create models that are flexible and responsive to fast-changing variables or a significant influx or departure of variables from the model.
  • Develop models that are trained, tested, and deployed with quality and efficiency. 
  • Break down major initiatives and insights needs into smaller components and tasks. 
  • Build models that can be operationalized into existing analytical systems. 
  • Build systems that are documented and easily explained to your business and Technology stakeholders. 

Who you are:

  • Bachelor’s or graduate degree in computer engineering, economics, statistics, or mathematics preferred. 
  • 2-5 years of experience in a data science/modeling role. 
  • 2-5 years of experience working in a data engineering lifecycle.
  • 1-3 years of experience with machine learning models and techniques required. 
  • Experience in product marketing, market research, supply chain, or other ecommerce domain preferred. 
  • Intermediate SQL extract (SELECT statements) skills required; expertise preferred. 
  • Advanced-to-expert level skills in statistical programming languages (Python, R, etc.). 
  • Intermediate experience with “big data” storage and processing technologies (Hadoop, Apache Spark, Azure Synapse, Snowflake, etc.) required. 
  • Quick to learn and adapt to new technologies.

•Unit Appreciation Rights: Up to 5% of yearly salary; based upon company and team performance•Company Bonus: Up to 5% of yearly salary; based upon company and team performance•Health Insurance: Spreetail offers two plans:-Aetna PPO: Spreetail covers 100% of premiums for employees and 50% for your spouse and dependents included on the plan.-Aetna HDHP HSA Plan: Spreetail will contribute $500 to an HSA for an employee-only plan or $1000 for your spouse and dependents included on the plan.•Dental Insurance: Spreetail will pay half of the dental coverage for you/spouse/family plans• 401k: Spreetail partners with ForUsAll to provide the opportunity to invest in your future with pre-tax and post-tax plan options•Paid Time Off: untracked time off•Wedding Week: Enjoy an additional 5 paid days off before or after your wedding•Creating a Home: After 2 years of employment, Spreetail will give you $5,000 when you buy a home•Year 3 Vacation: After 3 years of employment, you will be eligible for an all-inclusive vacation•Year 5 Sabbatical: After 5 years of employment, you will be eligible for a 2-week paid sabbatical•Donation Matching: Spreetail will match your donation dollar for dollar, up to $250 ayear and up to $1,000 if you've been here for 5 years•Community Involvement: Spreetail encourages employees to take time off for volunteer opportunities throughout the year, including a semi-annual volunteer week in every community we serve•Product Discount: Enjoy a 20% discount on the products we sell

Equal Opportunity EmployerSpreetail is an equal opportunity employer that hires based on stellar qualifications, positive attitude, and exemplary work ethic rather than factors like age, gender identity, race, nationality, religion, or sexuality.
Job tags: Big Data Economics Engineering Hadoop Machine Learning Marketing Python R Research Spark SQL
Job region(s): North America
Job stats:  14  1  0
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