Senior Applied Data Scientist/Engineer, Decision Intelligence

🔥 0 minutes ago

🇮🇹 Italy – Remote

💵 $160k - $170k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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WorkWave

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1984

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

WorkWave is a leading provider of field service management software designed to enhance the efficiency of businesses across a wide range of industries. Their software solutions streamline operations, optimize workflows, and improve customer experiences. WorkWave's products encompass CRM & ERP software, field operations management, routing and scheduling, billing and payments, along with fintech and marketing solutions. With tools tailored for industries such as pest control, cleaning, HVAC, lawn care, and delivery, WorkWave aims to support businesses in increasing operational efficiency and customer satisfaction through technology-driven solutions.

📋 Description

• Own ambiguous customer problems and determine whether machine learning is the right solution • Learn and model customer operational-domain semantics • Create required features and data models in Snowflake and dbt • Decide how predictions reach customers so they understand, trust, and act on them • Report realized business impact to Product and business stakeholders • Define offline and online evaluation for model quality, drift, and reliability • Design A/B tests or causal analyses to demonstrate improved customer outcomes • Handle deployment, testing, versioning, monitoring, and drift detection • Partner with Product Managers and Software Engineers to embed ML in product workflows • Set direction and targets for coding agents, critically review generated output, and build scaffolding, context, tests, and review loops • Build ML-powered products that improve customers’ decisions, business operations, and service delivery

🎯 Requirements

• 5+ years in applied data science, ML engineering, or data engineering that included owning models in production • At least one model built and shipped into a real product • Strong Python and applied ML libraries for tabular problems, including scikit-learn, XGBoost or LightGBM, statsmodels or Prophet • Solid SQL expertise required • Depth in supervised learning, forecasting, ranking, recommendation, or optimization • Experience modeling messy operational data • dbt and Snowflake modeling • Feature pipelines, deployment, monitoring, and drift detection • Experience with AWS • Experience quantifying business impact of a shipped model • Ability to present model impact to non-technical stakeholders • Excellent communication skills and ability to explain complex technical trade-offs clearly • B2B SaaS experience is a strong plus • Experience with coding agents, decision intelligence, forecasting, customer behavior modeling, workforce/route optimization, or operational intelligence products is a bonus • Prior senior or lead scientist/engineer experience is a bonus • LLM or agentic workflows shipped into a product is a bonus • No visa sponsorship now or in the future for this position

🏖️ Benefits

• Casual work environment • Remote work flexibility • Flexible Time Off policy or generous PTO plan (role dependent) • Paid holidays • Up to 4 weeks paid bonding leave • Tuition reimbursement • Employee Assistance Program through TotalCare with free counseling 24/7/365 • Financial counseling • Legal guidance • Adoption assistance services • 24/7 access to virtual medical care with Teladoc • Health and dental insurance • 401k with company match • Quarterly awards based on peer nominations • Regional discounts and perks • Opportunities to participate in charitable events and give back to the community • Extensive video libraries for soft skill and role specific training available 24/7 • Live trainings throughout the year • 10% annual bonus