Lead Data Scientist

At RetailMeNot we believe that gaining valuable insights using our data is core to our future success. Our Data Science team is seeking a Lead Data Scientist to drive the application of data science within the company so we can deliver more savings opportunities to consumers and more value for our retail partners.
In this role you will collaborate with a multidisciplinary team of data scientists, software engineers, data engineers, business analysts, product managers, and other internal customers to find the best opportunities to apply data science in RetailMeNot's business. You will then lead your team through development, iterative experimentation, and productization of winning solutions. We can provide you access to large-scale master and analytics data sets; in return you will see the application and impact of your work to millions of users.
Do you love working with people, taking on these new challenges, working in an energizing environment and using data to solve large and impactful problems? We have tons of work to be done, so let’s get started!

Who You Are

  • You have an MS/PhD in computer science, statistics, applied mathematics, or related quantitative field or equivalent self-study
  • You have a strong analytical background
  • You have 4+ years experience working in collaboration with software engineering teams to productize your work and 2+ years in a data science leadership role
  • You bring specific experience in multiple machine learning and data inference techniques, such as Regression models, Recommender Systems, SVMs, Matrix Factorization, Markov Decision Processes, and Clustering Techniques
  • You are familiar with key elements of the PyData ecosystem such as numpy, pandas, scikit-learn and spacy as well as the basics of the Hadoop ecosystem including HDFS, Hive, MapReduce, and Spark
  • You've developed a deep background in one of the following: information retrieval / search ranking, natural language processing, recommender systems / collaborative filtering, or ontology management / data normalization
  • You understand classical statistics/probability and time series analysis
  • You have experience querying relational databases (SQL) and independently working with and exploring data
  • You have the ability to apply a pragmatic approach to problem solving, establishing conceptual connections to data sources, understanding relationships among data, and comfort with uncertainties/approximations
  • You have great communication and teamwork skills

What You'll Do

  • Use analytics and machine learning to design and develop recommendation engines and other data products which drive user engagement, retention, and monetization
  • Design and implement scalable algorithms and models, as well as repeatable workflows
  • Develop and code software programs, algorithms and automated processes to cleanse, integrate, and evaluate large datasets to gain actionable insights
  • Provide technical expertise in statistical analysis, data mining, machine learning, NLP, and information retrieval
  • Communicate effectively to different audiences, both technical and non-technical, through good storytelling and data visualization
  • Mentor junior engineers/scientists on data science techniques, process, and new technologies
  • Keep abreast of new technologies. Technologies we use today include: Python, Spark, Redshift, Databricks, and Elasticsearch

Who We Are

  • We have an open environment where engineers are given a lot of responsibility and the freedom to make a huge impact
  • We have lots of smart people to work with and learn from
  • We work on large scale challenges with a variety of technologies
  • We have a great open vacation policy
  • We'll provide you with food, food, and more food
  • We believe in giving prizes, bonuses, and recognition for doing what you enjoy

RewardsWe offer an opportunity to be an integral part of a company that eagerly pursues disruption in its space to continue to drive innovation and lead the competition. Benefits of being an employee of RetailMeNot, Inc. include, but are not limited to the following: - Competitive base & bonus packages; salary negotiable- Long Term Incentive Plan- Performance based rewards & recognition for your hard work and service- Very competitive benefits packages, including best-in-class parental leave- Open & flexible PTO- Cell phone & gym membership reimbursements- Fully stocked break room & onsite catered breakfasts & lunches multiple days/week About UsRetailMeNot, Inc. is a leading digital savings destination connecting consumers with retailers, restaurants and brands, both online and in-store. The company enables consumers across the globe to find hundreds of thousands of digital offers to save money while they shop or dine out. U.S. Equal Employment Opportunity/Affirmative Action Information Individuals seeking employment at RetailMeNot, Inc. are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. You are being given the opportunity to provide the following information in order to help us align with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.

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Location

301 Congress Ave., Austin, TX 78701
301 Congress Ave., Austin, TX 78701

Perks of working here

401(K)
Daily Meals Provided
Dental
Health Benefits
Onsite Gym
Tuition Reimbursement
Unlimited PTO
Vision
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