Job description

Gradient AI:  

Gradient AI delivers state-of-the art artificial intelligence and Machine Learning solutions to the trillion-dollar insurance industry. AI has emerged as a disruptive force revolutionizing the way insurance professionals achieve their objectives, and Gradient AI is leading the charge. Our team is made up of Data Science and Insurance Technology experts with a history of building wildly successful technology companies. If you are passionate about making a difference for customers, and collaborating with passionate colleagues, then Gradient AI might be the right place for you.

Role:  

If you want to work on cutting-edge technology with friendly, intelligent people in a highly collaborative environment, then Gradient AI is the right place for you. We are looking for a Data Engineer to join our team to design and implement data pipelines, optimize existing models, and create standardization as we move into new lines of business. The ideal candidate is a life-long learner who knows object-oriented coding and has experience with business intelligence reporting tools.

Responsibilities:
  • Build dashboards and reports to visualize and explain to clients the results of the data science models.
  • Analyze complex data schemas and relationships to implement information models to capture the data and data relationships.
  • Create ETL processing logic to manage large volume client data sets associated with various types of insurance lines including Worker's Compensation, Health, and Auto.
  • Integrate 3rd party commercial and public domain data sets to enhance and extend Gradient AI's ML data assets.
  • Design and implement data pipelines for processing data as part of the overall ML Ops strategy within Gradient AI's Cloud deployment.
  • Collaborate with data scientists to featurize the information models and construct Machine Learning models.
  • Assist software engineering team to design and create integration APIs and applications that sit on top of Gradient AI's ML data assets.

Qualifications:
  • 3+ years of relevant working experience
  • Fluency in SQL and experience with relational and non-relational/alternative databases; Postgres is a desirable
  • Demonstrated ability to write effective, scalable Python code (or other similar object-oriented languages)
  • Experience working with Business Intelligence Reporting Tools (Tableau, PowerBI, etc); Superset would a plus
  • Experience with ETL / BPM. Exposure to tools like, Databricks Amazon Glue, Apache Spark, Apache Airflow is desirable.
  • Exposure working in a cloud-computing environment (e.g., AWS, GCP, Azure); experience with Databricks would be a plus
  • Comfortable with Linux, including developing shell scripts
  • Experience working with insurance data is desirable

What We Offer:

We are an equal opportunity employer that offers a number of benefits and perks to accommodate all types. Bring your authentic self to work in our supportive workplace where we offer:
  • A fun and fast-paced startup culture
  • A culture of employee engagement, diversity and inclusion
  • Full benefits package including medical, dental, vision, 401k, disability, life insurance, and more
  • Unlimited vacation days and ample holidays- we all work hard and take time for ourselves when we need it
  • Competitive salary and generous stock options - we all get to own a piece of what we're building
  • Ample opportunities to learn and take on new responsibilities

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