Data Scientist

United States Digital Space LLC; Warsaw (IN); Hybrid; USD 85,372 - 96,854; Full time

Benefits offered by this job

Health insurance with dental

MacBooks with all necessary equipment

Home office setup budget

Measurable growth budget

Gym/Fitness reimbursement

Mental Health Support

Group life insurance

Job summary

Data Scientist role based in Warsaw with a hybrid, office-centric schedule. You’ll work with Product and Business teams to define metrics, build models, and keep data flowing through pipelines. The position emphasizes experimentation, SQL, Python, and ML to inform product decisions and drive business outcomes.

The role includes a contract of employment in Poland with benefits and opportunities for growth within a leading human+AI platform.

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 3+ years applying data science techniques to product development and decision-making.
• Strong quantitative background in statistics and mathematics.
• Fluency in Python or Scala for data processing.
• Proficiency with SQL and relational data modeling.
• Experience with distributed data processing systems (Spark/Redshift).
• Background in ML and advanced statistical modeling.
• Curiosity about AI tools and rapid learning.

Responsibilities

• Design and analyze experiments to measure the impact of new product features.
• Investigate high-level questions about collaboration patterns and teams.
• Add metrics and aggregations to the data warehouse for broader queries.
• Build models to predict growth trajectories for customer segments.
• Collaborate with engineering, product, and business teams to drive data-informed decisions.

Skills

Python

SQL

Statistics

Experiment design

Machine Learning

Data storytelling

Education

Bachelor's degree in CS/Math/Stats/Engineering or related field

Tools

Spark

Redshift

Data pipelines

Job description

Data Scientist

The Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. We understand our company’s goals and proactively inform their direction with data so that our product can help more teams do great things.

As a Data Scientist at the company, you’ll help us ask the right questions and answer them rigorously. You’ll work closely with our Product and Business teams to understand their goals and proactively inform their direction with data. You’ll keep taking on new responsibilities as you grow—from defining core metrics to building machine learning models and keeping the data flowing in our pipelines.

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.

We offer a Contract of Employment (UoP) for our employees in Poland.

What you’ll achieve

• Design and analyze experiments to measure the impact of new product features.
• Investigate high-level questions like “What are the collaborative patterns of the most successful teams using the company?”
• Add new metrics and aggregations to our data warehouse to make new classes of questions answerable.
• Build models to predict the growth trajectory of different customer segments.
• Partner with cross-functional stakeholders across engineering, product management, and business teams to drive data-informed decision-making.

About you

• Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent practical experience.
• 3+ years of experience applying data science techniques to drive technical product development and decision-making.
• Strong technical background in statistics, mathematics, information science, or another heavily quantitative field.
• Fluency in at least one modern language useful for data processing (such as Python or Scala).
• Proficiency with relational data modeling and SQL.
• Expertise in statistical methods and experimental design and analysis.
• Experience with measurement techniques for search ranking, relevance, or quality assessments.
• Experience with distributed data processing systems (such as Spark or Redshift).
• Background in advanced statistical modeling (e.g., GLM, mixed effects) and/or machine learning techniques.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

What we’ll offer

For this role, the estimated base salary range is between 29,000 PLN - 32,900 PLN (gross monthly). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Generous, transparent, and fair compensation system
• Contract of Employment (and the option of 50% tax deductible costs for author's rights usage in respect of applicable roles)
• Health insurance with dental and travel coverage (Lux Med)
• Meals reimbursement on the days that you work from the office
• Career growth budget
• Home office setup budget
• Gym/Fitness reimbursement
• Fertility healthcare and family-forming support with Carrot
• Mental Health Support in Modern Health
• Group life insurance
• MacBooks with all necessary accessories

About us

The company is a leading platform for human + AI collaboration. Millions of teams around the world rely on the company to achieve their most important goals, faster. The company has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one