Data Scientist – BESS Performance Engineer

🕒 April 2

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 56%

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Wizeline

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $43M Series B on 2018-03

Consulting • Healthcare • Marketing

Wizeline is a global technology services provider specializing in digital transformation. The company offers a wide range of services including product engineering, cloud and DevOps, data and AI, and design to help companies achieve high-impact innovation. Wizeline's offerings aim to enhance operational efficiency, improve customer experiences, and accelerate business outcomes through cutting-edge AI and agile methodology. They serve a variety of industries, such as media and entertainment, financial services, and healthcare, providing tailored solutions to meet specific market needs. Their focus on AI technologies and human-centric experiences positions them at the forefront of technology-driven business evolution.

📋 Description

• Lead performance analysis, monitoring, and operational reporting for standalone BESS and paired solar PV + BESS assets across a distributed generation portfolio. • Develop and monitor KPIs including Round-Trip Efficiency (RTE), State of Health (SOH), State of Charge (SOC), auxiliary power consumption, and system availability. • Develop degradation models and predictive analytics to forecast battery life, monitor SOH against capacity guarantees, and optimize charging and discharging cycles. • Extract, clean, and analyze large-scale SCADA, DAS, telemetry, and discrete-event datasets to identify underperforming assets, diagnose component failures, and recommend corrective actions. • Collaborate with Data Science teams to integrate BESS telemetry into enterprise platforms, optimize data warehousing, and automate internal and external reporting pipelines. • Evaluate the technical and operational impacts of transitioning from standalone BESS to AC- and DC-coupled PV + BESS configurations. • Present technical and financial findings, recommend operational improvements and dispatch strategies, and communicate actionable insights to technical and non-technical stakeholders. • Work with Asset Management, Engineering, Data Science, and Operations & Maintenance teams.

🎯 Requirements

• Bachelor's or Master's degree in Electrical Engineering, Computer Science, Data Science, Mathematics, Physics, or a related technical field. • 3–5 years of experience in performance engineering, battery modeling, energy storage analytics, or a closely related field. • Strong understanding of Battery Energy Storage Systems (BESS), battery architecture, degradation mechanisms, and performance modeling. • Experience with the operation, design, or analysis of AC and DC electric power systems. • Proficiency in Python, R, or SQL for data analysis, time-series manipulation, and modeling. • Hands-on experience with SCADA, DAS, telemetry, and operational datasets for power plant performance assessment. • Experience with analytical and business intelligence tools, such as Pandas, NumPy, Matplotlib, Power BI, or Tableau. • Strong analytical and critical-thinking skills, with the ability to translate complex datasets into actionable insights. • Ability to work independently and collaborate effectively with cross-functional teams. • Proficiency in leveraging Generative AI tools and Large Language Models (LLMs) to accelerate code development, automate data processing, and improve analytical workflows. • Nice-to-have: Direct experience evaluating the performance of distributed generation or utility-scale BESS and solar PV assets. • Nice-to-have: Experience analyzing wholesale electricity markets, ISO/RTO dispatch strategies, Locational Marginal Pricing (LMP), energy arbitrage, and battery dispatch optimization. • Nice-to-have: Experience analyzing standalone battery storage and AC- or DC-coupled solar-plus-storage projects. • Nice-to-have: Familiarity with SCADA and monitoring platforms such as AlsoEnergy, GPM, Power Factors, Ignition, Wattch, Denowatts, SynaptiQ, or OSIsoft PI System. • Nice-to-have: Practical experience with AWS or Azure, data warehousing, and data pipeline development. • Nice-to-have: Experience designing and deploying AI-driven workflows, machine learning algorithms, and statistical models. • Nice-to-have: Familiarity with CMMS platforms such as Fiix, IBM Maximo, or Sitetracker. • Nice-to-have: Experience collaborating with Asset Management, Engineering, Data Science, and O&M teams in renewable energy environments.

🏖️ Benefits

• A High-Impact Environment • Commitment to Professional Development • Flexible and Collaborative Culture • Global Opportunities • Vibrant Community • Total Rewards (benefits vary by location and employment type)