
Senior Data Scientist – Personalization, Predictions
Posted 17 hours ago

Posted 17 hours ago
This is a fully remote position, open to applicants in Czechia.
• Transform ambiguous business inquiries into quantifiable challenges
• Conduct large-scale analysis of behavioral data, product catalogs, and event streams
• Identify predictive features within BigQuery and Databricks
• Develop and assess models for forecasting and contextual personalization, including propensity, churn, contextual bandits, autosegmentation, uplift, and incrementality
• Create offline metrics, backtests, and A/B tests to evaluate model effectiveness
• Investigate external methodologies, conduct proofs of concept, and evaluate outcomes
• Transfer models and evidence to ML Engineering for implementation
• Communicate results to Product and Engineering leadership, as well as customers
• Deliver two operational models within 12 months and pinpoint the business metrics they influenced
• Resolve team inquiries with data-backed evidence and produce authoritative documentation
• Over 5 years of experience in developing machine learning models that have been successfully deployed in the industry
• Proficient in Python programming
• Strong SQL abilities with the capability to independently navigate a data warehouse
• Solid foundation in classical machine learning, including tree-based models, regression, classification, and clustering techniques
• Expertise in rigorous experiment design and evaluation
• Familiarity with cloud data platforms; practical experience with GCP/BigQuery and Databricks is preferred
• A quantitative degree or equivalent practical experience
• Proficient in English, both written and spoken
• Significant expertise in at least one of the following areas: causal inference and uplift modeling; contextual bandits, sequential decision-making, or off-policy evaluation; ranking, recommendation, or information retrieval; LLM evaluation or applied GenAI
• Experience with agentic coding tools is a plus
• A significant level of autonomy and trust, with no time tracking, corporate regulations, or lengthy approval processes
• Flexible working hours
• A virtual-first work environment with Bloomreach Hubs located on three continents
• Company-sponsored events
• 5 paid days off for volunteering
• People Development Program featuring personal development workshops
• Support from communication coaches
• Leader Development Program that includes feedback, coaching, and regular check-ins
• An annual professional education budget of $1,500 for books, courses, and certifications
• Employee Assistance Program with access to counselors
• Subscription to Calm
• One additional DisConnect day off each quarter
• Opportunities for sports, yoga, and meditation
• Extended parental leave of up to 26 calendar weeks for Primary Caregivers
• Restricted Stock Units or Stock Options, depending on the role, seniority, and location
• Company performance bonus
• Employee referral bonus of up to $3,000
• Rewards for work anniversaries
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