WE ARE A PATIENT-FOCUSED BIOTECH INVESTMENT FIRM SEEKING A SENIOR DATA & ANALYTICS ENGINEER TO HELP US INVEST IN LIFESAVING MEDICINES.

About SymBiosis:
We are long-term investors in groundbreaking medicines treating and curing human disease.
We are curious, rigorous, collaborative, and passionate about our work.
We are also long-term investors in our team, targeting top-quartile performance and offering top-quartile compensation—including attractive benefits and carried interest for all employees.

LOCATION:

Bentonville, Arkansas; in-office 4 days/week August to May.
Live in Northwest Arkansas, nestled in the beautiful Ozark Mountains, and enjoy urban greenspace, world-class mountain biking, destination-worthy art experiences, and a flourishing culinary scene. This is a nationwide search and relocation benefits may be provided.
About You:
You are a data-driven builder who thrives on designing solutions from the ground up, while knowing when to leverage existing tools or datasets. With a keenly analytical mindset, you transform complex data into actionable intelligence, ensuring our team makes data-driven decisions with speed and precision. Passionate about scaling data workflows and integrating cutting-edge technology, you’ll drive multiple projects within our fast-moving team.
We are not limiting this opportunity to specific degrees or years of experience but will only hire highly skilled individuals who are also great colleagues. Be ready to provide real-world examples of your expertise and for a case study.
Responsibilities:

We’re looking for a Senior Data & Analytics Engineer who excels in building data pipelines and analytics solutions, using GitHub for collaboration. We have a hands-on team focused on designing and maintaining data infrastructure in AWS and Snowflake while leveraging machine learning and AI for investment insights. The bullet points below broadly illustrates the scope of your duties in order of importance. The more functions with which you are familiar, the better; but even if you’re an expert in just one key area, don’t hesitate to apply. Your ability to creatively solve problems and leverage data for impactful insights will be what truly matters at SymBiosis.

• Programming: Advanced knowledge of data engineering, analytics, and machine learning. Proficient in GitHub for team collaboration.
• Statistics & Quantitative Analysis: Strong understanding of probability, hypothesis testing, regression analysis, Bayesian methods, and other statistical techniques for data-driven decision-making.
• SQL & Database Management: Expertise in Snowflake SQL and designing scalable databases for analytical workloads.
• Machine Learning & AI: Strong grasp of Scikit-Learn, PyCaret, and Hugging Face for predictive modeling and NLP-driven insights.
• Cloud Architecture & Data Engineering: Experience building and optimizing data pipelines in AWS and Snowflake for large-scale analytics.
• Data Visualization: Ability to create interactive dashboards and reports.
• APIs & Data Integration: Experience integrating APIs to connect various data sources.
• DevOps & Automation: Knowledge of CI/CD pipelines, workflow automation, and best practices for data infrastructure.

• Programming: Advanced knowledge of data engineering, analytics, and machine learning. Proficient in GitHub for team collaboration.
• Statistics & Quantitative Analysis: Strong understanding of probability, hypothesis testing, regression analysis, Bayesian methods, and other statistical techniques for data-driven decision-making.
• SQL & Database Management: Expertise in Snowflake SQL and designing scalable databases for analytical workloads.
• Machine Learning & AI: Strong grasp of Scikit-Learn, PyCaret, and Hugging Face for predictive modeling and NLP-driven insights.
• Cloud Architecture & Data Engineering: Experience building and optimizing data pipelines in AWS and Snowflake for large-scale analytics.
• Data Visualization: Ability to create interactive dashboards and reports.
• APIs & Data Integration: Experience integrating APIs to connect various data sources.
• DevOps & Automation: Knowledge of CI/CD pipelines, workflow automation, and best practices for data infrastructure