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Senior Data Scientist

Posted in Software Engineering, Other

A local company

Job Type

Full Time



Description :


This position is 100% remote.

The Data Science program at GitLab focuses on developing model-based insights to help us understand our business, customers, and product better. Data Scientists work across the entire development lifecycle, from inception to final delivery. As a result of helping GitLab understand major trends across our business, Data Scientists make significant strategic contributions to new and existing business initiatives.

Data Scientists work with peers on the Data Team and functional teams to:

perform ad-hoc exploratory analysis

solve well-defined business problems

regularly measure and improve analytics initiatives

create and maintain production models and related applications

Example Data Science Projects Include

account scoring

propensity to buy

customer segmentation

sentiment analysis

customer churn and uplift prediction

hypothesis testing and forecasting

Data Scientists are a part of the Data Team and report to the Director/ Sr. Director, Data & Analytics .

Don’t have a ton of knowledge about GitLab yet? Don’t worry. We have an extensive onboarding and training program at GitLab and you will be provided with necessary DevOps and GitLab knowledge to fulfill your role.

What You'll Do In This Role

Communicate with business partners to understand their needs to help develop new strategic insights

Define, collaborate, and communicate key influences, levers, and impacts to non-technical audiences

Perform exploratory data analysis to understand ecosystems, behavioral trends, and long-term trends

Build machine learning models (training, validation, and testing) with appropriate solutions for data reduction, sampling, feature selection, and feature engineering

Design and evaluate experiments (including hypothesis testing) by creating key data sets

Apply data mining or NLP techniques to cleanse and prepare large data sets

Help grow the Data Science function by defining and socializing best practices, particularly within a DataOps and MLOps data ecosystem

Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review

Document every action in either issue/MR templates, the handbook , or READMEs so your learnings turn into repeatable actions and then into automation following the GitLab tradition of handbook first!

We're looking for:

Ability to use GitLab

4+ years professional experience in an analytics role

2+ years professional experience in a predictive analytics, data science, or similar role

Developed 2 or more automated machine learning models for production use

Developed and presented 4 or more predictive analytical projects

Familiarity with the CRISP-DM analytics development model

Experience working with a variety of statistical and machine learning methods (time series analysis, regression, classification, clustering, survival analysis, etc)

Professional experience with python, including python data libraries (numpy, pandas, matplotlib, scikit-learn), or R

Deep understanding of SQL in data warehouses (we use Snowflake SQL) and in business intelligence tools (we use Sisense for Cloud Data Teams)

Working knowledge of statistics

Comfort working in a highly agile, intensely iterative environment

Positive and solution-oriented mindset

Effective communication skills: Regularly achieve consensus with peers, and clear status updates

Experience owning a project from concept to production, including proposal, discussion, and final delivery

Self-motivated and self-managing , with excellent organizational skills

Share our values, and work in accordance with those values

Ability to thrive in a fully remote organization

Successful completion of a background check

A shared interest in our values , and working in accordance with those values

Also, we know it’s tough, but please try to avoid the confidence gap . You don’t have to match all the listed requirements exactly to be considered for this role.

Hiring Process

To view the full job description and hiring process, please view our handbook . Additional details about our process can also be found on our hiring page .

To apply

To apply click here

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