Senior Data Science

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

5+ years of experience with large datasets and complex models., Proficiency in Python with libraries like pandas, numpy, scikit-learn, statsmodels., 3+ years of SQL experience working with relational databases such as PostgreSQL and BigQuery., Experience in the iGaming environment..

Key responsibilities:

  • Creating and validating hypotheses based on data.
  • Using statistical methods to identify patterns.
  • Building and optimizing predictive models including machine learning, regression, and clustering.
  • Analyzing changes in key metrics and identifying their causes.

Gypsy Collective logo
Gypsy Collective http://gypsy.co
51 - 200 Employees
See all jobs

Job description

Gypsy is looking for a Senior Data Science β€” a seeker of patterns, a builder of meaning, and a navigator through metrics, models, and signals.

Requirements

🧭 What makes you a great match
  • 5+ years of experience working with large datasets and building complex models;
  • Python experience: 3+ years. Use of libraries for analysis and modeling: pandas, numpy, scikit-learn, statsmodels;
  • SQL experience: 3+ years. Working with relational databases: PostgreSQL, BigQuery;
  • Tableau/Superset: 2+ years of experience. Visualization optimization for large datasets;
  • Git: Confident user. Code and data version control, conflict resolution, pull requests;
  • Experience in the iGaming environment.
πŸ“‹ Your daily adventures
  • Creating and validating hypotheses based on data;
  • Using statistical methods to identify patterns;
  • Building and optimizing predictive models (Machine Learning, regression, clustering);
  • Analyzing changes in key metrics and identifying their causes;
  • Developing logic for distinguishing VIP and regular players;
  • Designing models for analyzing player activity and player retention;
  • Continuously improving data collection, processing, and analysis workflows;
  • Developing and maintaining Python scripts to automate processes;
  • Ensuring data quality and troubleshooting processing errors.
πŸ† Preferred Qualifications
  • Experience with A/B testing tools;
  • Experience with BigQuery or other analytical DWHs.

Benefits

πŸ’Έ Flexible payment options: choose the method that works best for you;
🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup;
🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care;
πŸ“ˆ Learn & grow: We cover courses and certifications β€” and offer real opportunities to grow your career with us;
πŸ₯ Benefit Π‘afeteria: Choose what suits you β€” sports, language courses, therapy sessions, and more;
πŸŽ‰ Stay connected: From team-building events to industry conferences β€” we bring people together online, offline, and on stage;
πŸ’» Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow;
πŸ•˜ Your schedule, your rules: Start your day at 9, 10, or even 11 β€” we care about results, not clock-ins.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Problem Solving

Data Scientist Related jobs