Member of Technical Staff, Data Science

The Upright Project

Experienced developer shaping the future of AI engine for impact intelligence at Upright. Engaging with data pipelines, APIs, and ML/LLM systems while working with a senior team.

Posted 5/28/2026full-timeHelsinki • 🇫🇮 FinlandLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPythonSQLTypeScript

About the role

Key responsibilities & impact

Shape the future of our AI engine for impact intelligence.
Work across the platform, from data pipelines, APIs, and ML/LLM systems to the product surfaces our customers use.
Pick up whatever the problem requires.
Design systems, write the hard parts, and teach agents to do the rest well.
Collaborate with a small, senior team where your work is visible from day one.

Requirements

What you’ll need

At least 6 years of professional experience in data science and/or software development.
Demonstrated ability to execute data science work and provide technical direction.
Strong output orientation and common sense thinking to enable solving hard-to-define problems.
Strong analytical and mathematical thinking. You reach for the right tool (Bayesian inference, convex optimization, classical ML, an LLM, or just a well-placed SQL query) instead of defaulting to one.
Track record in implementing production-quality data pipelines and models, especially in Python and TypeScript.
Agentic development is your default mode: you already work *with* coding agents (Claude Code, Cursor, etc.) day to day, and you're excited to build the architecture, tools, evals, and guardrails that make agentic workflows reliable at scale, including for data and ML pipelines.
Ability to work both autonomously and as part of a team.
Ability to see the big picture and prioritize work accordingly.
Ability to communicate clearly both verbally and in writing.
Solid track record of internal passion for excellence: you have gotten things done clearly better than what was required, because you enjoy doing things well.
Extensive practical experience in predictive modeling, Bayesian inference, and/or convex optimization.
Hands-on experience with LLM-assisted data processing: prompt design, structured outputs, retrieval, agentic tool use, and — especially — building evals that actually catch regressions.
Experience designing and operating ETL pipelines at a non-trivial scale.
Expertise in cloud technologies such as AWS Sagemaker, Glue, ECR, and Fargate (or equivalents in GCP / Azure).

Benefits

Comp & perks

A chance to join a quickly growing and highly ambitious impact SaaS company with a mission that matters — real capital allocation decisions at 1,000+ institutional investors and corporations rest on the data we build.
A team of exceptional people who are kind, direct, and care deeply about doing the work well.
An unusually AI-forward engineering environment — first-class tooling, in-house agents, and the freedom to keep pushing what "AI-native development" actually means in practice. You'll be shaping the workflow, not inheriting it.
Substantial autonomy and ownership from day one, with lots of room to grow.
Competitive compensation, including stock options and a comprehensive healthcare package.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data sciencesoftware developmentpredictive modelingBayesian inferenceconvex optimizationmachine learningPythonTypeScriptETL pipelinesLLM-assisted data processing

Soft Skills

output orientationanalytical thinkingmathematical thinkingautonomyteam collaborationcommunicationprioritizationpassion for excellence