Senior Data Scientist

  • Location: Chicago, IL
  • Department: Engineering
  • Type: Full Time
  • Min. Experience: Experienced

Sprout’s data team uses code, statistics, and machine learning to inform our products and organization. We’re looking for an outstanding Senior Data Scientist to join our team of curious data scientists and engineers.

Our team uses Python and its data stack (pandas, numpy, scikit-learn) along with a little Java to drive decisions and power software that is used by more than 17,000 brands around the world. Companies like Microsoft, Zipcar, Hyatt, Google, and Zendesk rely on Sprout to create stronger relationships with their customers through social media.

We’re looking for curious, analytical, and creative people to help utilize the vast amount of data we have. If you love finding ways of using data to build better products and solve problems, we’d love to talk with you.

Responsibilities:

  • Build predictive models in support of product and business goals
  • Conduct research to surface new opportunities and understanding
  • Build tooling for all of the above
  • Mentoring, teaching, and helping to level up the team

Desired Skills & Experience:

  • You have professional experience working on data-driven problems. Examples might be classification, recommendations, churn prediction, topic modeling, fraud detection, etc.
  • You’ve built production machine learning pipelines in Python or Java.
  • You have a strong understanding of statistics (probability, experimental design, bayesian methods).
  • You enjoy thinking about business and product, and how data can be used to inform or improve both.
  • You understand, appreciate, and can explain the tradeoffs between simple methods and complex models.
  • You probably studied a technical, quantitative, or analytical field throughout school, but also might have taken a different route. We’re looking for at least a Bachelor’s degree or equivalent.

These are nice-to-haves, so we’d love to hear about your experiences here (if any):

  • Experience working with text data and using natural language processing methods
  • Experience with Apache Airflow, Spark, or AWS Data Products (EMR, Redshift, Kinesis)
  • Experience with deep learning toolkits, such as Keras, Theano, or TensorFlow

About Sprout Social
Sprout Social powers open communication between individuals, brands and communities through elegant, sophisticated software. We are relentless about solving hard problems for our customers and committed to both customer and team success.

Team Sprout is a group of very talented, smart and passionate people with broad interests and backgrounds. We’re proud to regularly be recognized for software, product and company culture achievements. Our team’s shared belief in Sprout’s mission promotes a culture of openness, empowerment and fun. We have built a benefits program to match the strength of our team. This program includes:

  • Insurance and benefit options that are built for both individuals and families, including generous company contributions
  • Progressive benefit programs, like our parental leave program and free Divvy bike memberships
  • High-quality and well-maintained equipment - your computer will never prevent you from doing your best
  • Beautiful, convenient and state-of-the-art offices in Chicago’s Loop
  • Solid programs in some of the staples: transportation, disability and life insurance
  • Wellness initiatives to ensure both health and financial well-being of our team
  • Breakfast and lunch options onsite, and more healthy snack options and beverages than you can imagine
  • Growing corporate social responsibility program that is driven by the involvement and passion of our team members

Return to Job Listings

Apply for this position

* Required fields
First name*
Last name*
Email address*
Location
Phone number*
Resume*

Attach resume as .pdf, .doc, or .docx (limit 2MB) or paste resume

Paste your resume here or attach resume file

Cover Letter*
Who referred you to this position?
Are you willing to relocate?
What’s your citizenship / employment eligibility?*
What’s your highest level of education completed?
College or University
GPA
LinkedInLinkedIn profile URL:
Twitter
Website, blog or portfolio:
What languages do you speak fluently?
Desired salary
In 150 characters or fewer, tell us what makes you unique. Try to be creative and say something that will catch our eye!*