Applied Data Scientist / Machine Learning Engineer – Decision Intelligence

🕒 June 22

🇺🇸 United States – Remote

💵 $160k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 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

• Drive the development of machine learning capabilities (forecasting, recommendation, ranking, optimization, or decision intelligence) powering customer-facing SaaS products. • Design reliable data and feature pipelines alongside models from discovery through experimentation, validation, deployment, and monitoring. • Partner with Product Managers and Software Engineers to embed ML directly into product workflows, user experiences, and decision-making tools. • Move quickly from prototype to production while balancing accuracy, interpretability, latency, maintainability, and business impact. • Define offline and online evaluation strategies, including model quality, drift, and reliability. Design A/B tests and causal measurement frameworks to prove ML features improve customer outcomes. • Collaborate with Data teams to ensure models are supported by high-quality features, while building feedback loops so product experiences improve over time. • Help manage and optimize cloud data infrastructure, ensuring trustworthy insights and proactively managing data health before it impacts users. • Bring strong judgment around when to use traditional ML, statistical modeling, LLMs, heuristics, or simpler product logic. Make practical trade-offs across model complexity and customer impact. • Clearly communicate what ML can and cannot solve to influence roadmap decisions, helping identify where machine learning can create true product differentiation. • Guide and mentor other data scientists, ML engineers, analysts, and cross-functional partners in applied ML best practices.

🎯 Requirements

• 3+ years (ideally 5+) of professional experience in applied data science, machine learning, or ML engineering, including hands-on experience building and shipping models into production products. Experience with SaaS products is highly valued. • Strong Python skills and hands-on experience with applied ML libraries and frameworks (e.g., Scikit-Learn, XGBoost, PyTorch, TensorFlow). Solid SQL expertise is required. • Strong understanding of supervised learning, forecasting, ranking, recommendation systems, optimization, or statistical modeling. Experience with real-world, imperfect product datasets is essential. • Familiarity with MLOps concepts (model versioning, feature pipelines, orchestration via Airflow/dbt/Dagster, monitoring, drift detection) and modern data platforms (e.g., Snowflake, BigQuery, Redshift, Databricks). • Hands-on experience operating within cloud environments (AWS, GCP, or Azure). • Excellent communication skills with the ability to explain complex technical trade-offs clearly to product, engineering, and non-technical business stakeholders.

🏖️ Benefits

• Employees can expect a robust benefits package, including health and dental and 401k with company match • Find your perfect work/life balance with our Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays • Up to 4 weeks paid bonding leave • Tuition reimbursement • Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365, plus financial counseling, legal guidance, adoption assistance services and much more! • 24/7 access to virtual medical care with Teladoc • Quarterly awards based on peer nominations • Regional discounts and perks • Opportunities to participate in charitable events and give back to the community

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