Senior Data Scientist at Label Insight

| Chicago
!Sorry, this job was removed at 4:05 p.m. (CST) on Thursday, August 22, 2019

About us:

Label Insight is the industry leader in powering product attribute-driven growth across the consumer-packaged goods ecosystem. Their patented technology harnesses data science and machine learning to create best-in-class product attribute data with more than 22,000 high-order attributes per product.

Covering more than 80 percent of top selling food, pet, and personal care items in the U.S., Label Insight enables companies to unlock new growth opportunities and power digital innovation across their business while empowering consumers to make more informed purchasing decisions with better product transparency.

The company, with locations in Chicago and St. Louis, supports industry leading clients including Unilever, ConAgra, Pepsi, Walmart, Target, Albertsons, Petco, Meijer, Dole and numerous other CPG brands and retailers.

About the role:

As a Data Scientist, you will evaluate and improve LI’s products. You will collaborate with a multi-disciplinary team of engineers on a wide range of problems. This position will developing deep learning models to extract information from text and images.

Label Insight’s core business model is extracting meaning from product packaging. This involves the processing of both semi structured data such as Nutritional Fact Panels, Ingredient lists to unstructured natural language such as marketing claims, product descriptions and preparation instructions with a strong focus on text classification. We’re seeking a Data Scientist focused on computational linguistics/natural language processing who can leverage their creativity and experience to build connections and unearth hidden value in existing and new data sources.  You will collaborate closely with technologists and business stakeholders on the transition of your research into high value business applications.

Minimum qualifications:

  • MS degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
  • 2 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / computational biologist / bioinformatician)
  • Experience with statistical software (e.g., R, Python, Julia, MATLAB, pandas) and database languages (e.g., SQL).
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem.
  • Demonstrated effective written and verbal communication skills.
  • Demonstrated willingness to both teach others and learn new techniques.

Preferred qualifications:

  • 4 years of relevant work experience (e.g., as a statistician / computational biologist / bioinformatician / data scientist), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
  • Applied experience with machine learning on large datasets.
  • Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).
  • Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc.
  • Any experience with nutritional science and the product marketing domain would be highly advantageous
  • Knowledge of graph database technologies, such as Neo4J or some experience with data classification, taxonomy building, and/or metadata schemas

Responsibilities:

  • Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to LI products.
  • Make recommendations around existing models that include, Image Classification, Optical Character Recognition (OCR), Natural Language Understanding (NLU).
  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Work with ontologies, taxonomies and vocabularies within a nutritional science context

Our Values:

  • Transparency: We share information freely and concisely as a team
  • Collaboration: We respect diversity and work toward the solution together
  • Iteration and Innovation: We speak up early, are honest about our limits, and leverage failure as an asset
  • Intellectual Honesty and Humility: We encourage open debate and favor the best ideas
  • Accountability: We own the successes and failures of our team
  • Quality Driven: We hold our work to the highest standards and embrace problems as opportunities

Our Perks:

  • Flexible paid vacation
  • Flexible work hours
  • Kitchen stocked with snacks, drinks, a kegerator and more!
  • Casual, dog-friendly, open-layout workspace
  • Company subsidized Health Insurance, and 401(k) and commuter benefits
  • Competitive salary and stock options
  • Catered team lunches every other week
  • Regular team events and happy hours
  • Maternity/Paternity Leave

Does this sound like you?  We'd love to talk to you!

 Label Insight is an Equal Opportunity Employer

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Technology we use

  • Engineering
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • ScalaLanguages
    • jQueryLibraries
    • ReactLibraries
    • ReduxLibraries
    • AngularJSFrameworks
    • Backbone.jsFrameworks
    • Node.jsFrameworks
    • SpringFrameworks
    • MySQLDatabases
    • PostgreSQLDatabases
    • RedisDatabases

Location

Whether you're driving or taking public transportation, our West Loop location is easy to find!

An Insider's view of Label Insight

What’s the vibe like in the office?

It is amazing to me that transparency is at the center of our product AND our values. I think it is really unique to be at a company that is so open and honest with all of its employees. I feel lucky every day to work for Label Insight where I am surrounded by smart people solving real problems for consumers.

Jessica

Senior Product Manager

What does your typical day look like?

My day starts with our team's daily stand, and I'll usually have another agile ceremony (grooming, sprint planing, etc.). I also sync with the designer and PM to review upcoming features, user interviews, and wireframes. The rest of the day is spent working on new features, tackling tech-debt, and contributing to shared front-end infrastructure.

Janine

Software Engineer

How do you make yourself accessible to the rest of the team?

Accessible is equal parts attitude and action. It starts with valuing all people and being intellectually curious, then living out actions like sitting with the team in open workstations, hosting lunches and weekly 360s, joining team events, and engaging in platforms like Slack. But the most important is the attitude that everyone's input matters.

Todd

CEO

What makes someone successful on your team?

We look for friendly people who are happy engaging in healthy, vigorous debate, and who have the drive and courage to proactively learn and try new things. We really value autonomy, so we want people who will also appreciate and take advantage of that. In my experience, these traits naturally come out over the course of the hiring process, and are

Noah

Lead Software Engineer

What are Label Insight Perks + Benefits

Label Insight Benefits Overview

The Benefits & Perks of Joining Us:
Competitive salary and stock options
Flexible work hours
Flexible paid time-off on top of 12 business days for standard holidays (Label Insight is closed for 1 week during the winter holiday season)
Company subsidized health insurance, dental and vision benefits
Paid Maternity and Paternity Leave
401(k) Plan
Employer Paid Basic Life Insurance Policy and STD/LTD
Transportation/Commuter benefits
Employment Referral Bonus
Educational Assistance and Management Training Programs
Casual and collaborative, open-layout work space - dog-friendly office in Chicago
Catered team lunches - every other week
Cold brew and beer on tap
Regularly scheduled team gatherings

Culture
Friends outside of work
Eat lunch together
Intracompany committees
Daily stand up
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Retirement & Stock Options Benefits
401(K)
Company Equity
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Family Medical Leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Game Room
Our game room includes Foosball, Darts.
Stocked Kitchen
Some Meals Provided
Happy Hours
Pet Friendly
Recreational Clubs
Professional Development Benefits
Job Training & Conferences
Acme Co. offers employees professional development opportunities like The ability to attend job related conferences and seminars.
Tuition Reimbursement
Lunch and learns
Cross functional training encouraged
Promote from within
Continuing Education stipend
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