Hiring Senior Data Scientist | Recurrency

Senior Data Scientist


Date listed

3 weeks ago

Employment Type

Full time



The Company

Recurrency is a sales, pricing, and purchasing automation platform for distributors. Despite distribution being a multi-trillion dollar industry, the legacy enterprise resource planning (ERP) systems that exist to help distributors manage their purchasing, inventory, sales, order processing, and accounting are decades behind. For the most part, ERP systems are painfully slow, difficult-to-use, and soul-crushingly manual.

Recurrency’s goal is to reverse ERP stagnation by building a streamlined and intelligent ERP: blazingly fast and complete with powerful automation tools like dynamic pricing and demand forecasting. Using Recurrency can boost a distributor’s revenue and profit margins, while reducing waste and saving time. Most importantly, Recurrency is fully-integrated with the customer’s legacy system, so deploying Recurrency in production can be done in as little as one day.

Founded in Los Angeles and supporting a fully-remote team across the United States, Recurrency is a fast-growing and venture-backed team of talented technologists going all-in on building the next great platform company.

The Role

As a Senior Data Scientist, you will join the Sales & Data Accuracy team and report to the Head of Engineering to focus on building features on the sales side of the product. You will leverage existing knowledge in Machine Learning and Big Data to build and deploy the models that drive key business insight for our customers. You will lead projects to improve features such as recommendations and dynamic pricing. As one of the founding members of our team, you'll be engineering the next-generation data science features for the world-wide supply chain. 

Our team does it all - and you will be a core contributor - designing, testing, and deploying a system of bleeding edge Machine Learning models, preparing data and engineering features, tracking metrics, maintaining the health of our code, and continually growing as an engineer and researcher. 

The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At Recurrency, we pride ourselves on the collaboration between Product, Design, and Engineering and so you have the opportunity to be involved in the entire product lifecycle, from ideation through building, deploying, and continual improvement and evolution.

What You'll Do

  • Develop recommendation, and pricing models to improve the quality of wholesale distribution systems.
  • Actively contribute in designing and deploying machine learning models and evaluate results
  • You will communicate insights to product and engineering leadership
  • You will collaborate with partners across product, design, engineering, and business teams to drive your recommendations into action
  • Collaborate with key stakeholders to deliver proof-of-concept solutions quickly
  • Track the performance of and maintain models once they are deployed into production
  • Research new technologies and methods across data science and data engineering to improve the technical capabilities of the team
  • Mentor Junior data scientists

About You

  • Working knowledge of relational databases, including SQL, we use Postgres, Snowflake
  • Ability to implement data science pipelines and applications in a general programming language such as Python
  • Ability to deal with ambiguity, prioritize and deliver results in a fast paced innovative environment
  • Ability to extra business insights from data and identify patterns
  • Practical experience with and theoretical understanding of ML algorithms.  Knowledge in forecasting, recommendation, or pricing is a plus.
  • Fluency in PyTorch a plus
  • Foundation in data structures, algorithms, and software design with strong analytical and debugging skills.
  • Strong interpersonal, communication, and collaboration skills with great problem solving abilities.
  • A desire to be part of a diverse and growing team.
  • 5+ years of experience as a Data scientist
  • MS or PhD in Data Science, Computer Science, Math or related field.


Recurrency aims to ensure a diverse, inclusive, and welcoming work environment. 

Individuals seeking employment at Recurrency are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

Progression overtime

First 30 days:

  • You will have reviewed all models
  • You will have met the entire team
  • You will feel comfortable explaining how AI is used at Recurrency
  • Have identified areas that require immediate attention
  • Establish a performance baseline for all models

Days 60:

  • Work towards improving the performance of existing models
  • Have made significant progress in tracking the effectiveness of our models
  • Collaborated with product to identify area of improvements

Day 90+:

  • Made major improvements in key business metrics
  • Be a major part in more complex projects
  • Blog about data science at Recurrency

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