Senior Data Scientist – Personalization, Predictions

Job not on LinkedIn

🔥 1 hour ago

🇨🇿 Czechia – Remote

💵 Kč1.5M - Kč1.8M / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

Where this job comes from

Posted on Bloomreach's careers page, not through a job board

First seen by Remote Rocketship 1 hour ago

Still open on Bloomreach's site. Checked 1 hour ago.

Logo of Bloomreach

Bloomreach

501 - 1000 employees

💼 Consulting

📣 Marketing

✈️ Travel

💰 $30M Debt Financing on 2022-10

Consulting • Marketing • Travel

Bloomreach is a leader in ecommerce personalization solutions, providing platforms that integrate real-time customer and product data via AI. The company offers marketing automation, product discovery, and a unified data platform specifically designed for commerce applications. This enables businesses to personalize marketing efforts across multiple channels such as email, SMS, and web, optimize ecommerce search and merchandising, and manage customer and product data for advanced analytics and omnichannel personalization. Bloomreach’s solutions cater to various industries including retail, travel, hospitality, and more, to enhance profitability and customer retention.

📋 Description

• Frame vague business questions as measurable problems • Analyze behavioral data, product catalogues, and event streams at scale • Find predictive features across BigQuery and Databricks • Build and evaluate models for predictions and contextual personalization, including propensity, churn, contextual bandits, autosegmentation, uplift, and incrementality • Design offline metrics, backtests, and A/B experiments to evaluate models • Research external methods, run proofs of concept, and assess results • Hand models and evidence off to ML Engineering for productionization • Explain results to Product, Engineering leadership, and customers • Deliver two production models within 12 months and identify the business metric each moved • Settle team questions with evidence and produce authoritative writeups

🎯 Requirements

• 5+ years building machine learning models that shipped and were used by others, in industry • Strong Python skills • Strong SQL skills and ability to navigate a data warehouse independently • Solid grounding in classical machine learning, including tree-based models, regression, classification, and clustering • Rigorous experiment design and evaluation skills • Experience with cloud data platforms; GCP/BigQuery and Databricks preferred in practice • A quantitative degree, or equivalent practical depth • Working English, written and spoken • Real depth in at least one of: causal inference and uplift modelling; contextual bandits, sequential decision-making, or off-policy evaluation; ranking, recommendation, or information retrieval; LLM evaluation or applied GenAI • Experience using agentic coding tools is an advantage

🏖️ Benefits

• A great deal of freedom and trust, with no clocking in/out, corporate rules, or long approval processes • Flexible working hours • Virtual-first work with Bloomreach Hubs across three continents • Company events • 5 paid days off to volunteer • People Development Program with personal development workshops • Communication coach support • Leader Development Program with feedback, coaching, and check-ins • $1,500 annual professional education budget for books, courses, and certifications • Employee Assistance Program with counselors • Calm subscription • One additional DisConnect day off each quarter • Sports, yoga, and meditation opportunities • Extended parental leave up to 26 calendar weeks for Primary Caregivers • Restricted Stock Units or Stock Options, depending on role, seniority, and location • Company performance bonus • Employee referral bonus of up to $3,000 • Work anniversary rewards

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