Data Scientist/ Machine Learning Engineer

Posted 12 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Mid level
Information Technology
The Role
The role involves designing ETL pipelines, managing databases, developing LLM features, and collaborating with teams for data insights.
Summary Generated by Built In
Who we are

Product Strategy. Technology Execution. Launch. Investment.

Remedy Product Studio is a rapidly scaling technology company specializing in working with and investing in prominent start-ups and brands in building and scaling their digital products. We use data-driven agile approaches coupled with high performing teams as a cornerstone of our technology-first culture.

We partner with startups to strategize, execute, launch, and invest in digital products, including web apps, mobile apps, data science tools, and firmware for connected devices.

We believe that people make a great company, and that's why we want you to join us!!!

Who we're looking for

We’re looking for a Data Scientist / Machine Learning Engineer to help us design and scale our data and AI infrastructure.
You’ll work on building robust ETL pipelines, managing graph and relational databases, and developing LLM-powered features that enhance our data-driven insights.

What you will do

  • Design and maintain ETL pipelines using Airbyte or similar tools.
  • Work with Snowflake, PostgreSQL, and Supabase for data modeling, transformation, and integration.
  • Build and query graph databases with Neo4j using Cypher.
  • Develop and deploy LLM-based modules and RAG pipelines using frameworks like LangChain.
  • Integrate and expose data via GraphQL and REST APIs.
  • Collaborate with cross-functional teams to define data requirements and support analytics and machine learning initiatives.

What should your qualifications be

  • 4+ years of relevant experience
  • Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow).
  • Excellent SQL skills and experience with Snowflake and Postgres.
  • Experience with ETL/ELT processes and tools like Airbyte.
  • Knowledge of Neo4j and Cypher for graph data modeling.
  • Familiarity with LLM frameworks (LangChain, RAG).
  • Understanding of GraphQL and REST API integrations.
  • Nice to have: 
  • experience with Supabase and data visualization or BI tools.
  • experience with Vercel

Compensation Package

  • Vacation leave of 20 working days
  • Paid Medical insurance
  • 4 sick days per year
  • Sport compensation

  • Personal Growth
  • Career and professional growth
  • Access to senior engineers for help and mentorship
  • English classes with on-staff teachers
  • English clubs where you can polish your skills together with teammates
  • Paid courses and certificates to raise professional skills

  • Other Perks
  • Possibility for working remote or in Warsaw office
  • Macbook provided by company as a working environment
  • Work environment based on collaboration and teams
  • Team building events on team and group level
  • Sponsored company outings and social events

Top Skills

Airbyte
Cypher
GraphQL
Langchain
Neo4J
Numpy
Pandas
Postgres
Python
PyTorch
Rest Apis
Scikit-Learn
Snowflake
SQL
Supabase
TensorFlow
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The Company
New York, New York
102 Employees
Year Founded: 2012

What We Do

Remedy Product Studio works with founders on strategy, execution, and launch of digital products. We collaborate with Seed to Series C companies across healthcare, data, and finance/commerce technology. We have been a long-term partner to companies including ClassPass, HealthReveal, H1 Insights, Sommsation, Ash, and Caraway Health. Partners are typically with us for 3 years, and we engage our venture network to guide them through an average of 2 fundraises, helping them secure investors like Google Ventures, Greycroft, and Serena Ventures. We work closely with investors to fill out rounds and invest in select partners in the form of sweat equity. So, what does a Remedy partnership look like? - Each Remedy team works exclusively with a single partner to synthesize company objectives, create a roadmap, and then deliver a product. - With our unique flavor of agile methodology, our product-led teams distill a partner’s broad vision into a lean scope that can be delivered and tested in a short time frame. - Our cross-functional teams work on product management, full stack and data engineering, DevOps, architecture, QA, and UX/UI design. Throughout a partnership, we gather product metrics to inform long-term technology and business strategy.

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