Director, Data Science & Analytics

Director, Data Science & Analytics

This job is no longer open

About Rhythm

Rhythm is a renewable energy and technology company empowering you to take control of your budget and your footprint.  We combine energy market expertise with technology, design, and data science to create best-in-class products and services that are simple, delightful, and seamlessly integrated with the rhythm of your life. Our mission is to upend the energy status quo by setting a new standard of service excellence and customer partnership. We are a mission-driven, results-oriented group of engineers, business people, designers and artists who love solving tough problems, all while making a positive impact on our communities.

The Why:

Creates value for the company through delivering compelling data-driven insights and analytical capabilities that enable top- and bottom-line growth, improve customer engagement, expand the company’s customer insights offerings, and enable educated risk-taking.

The What:

  • Develop and manage a high-performing/high-throughput team of talented analytics professionals and data scientists
  • Formulate the company’s analytics roadmap and be accountable for the delivery of the company’s analytics and insights capabilities at both the customer and portfolio levels
  • Accountable for formulating and delivering a range of advanced analytics solutions including but not limited to: Customer Lifetime Value, Smart Alerts, Segmentation, Product/Segment Profitability Analysis, and Churn Models
  • Lead the design and implementation of the company’s demand response and batter optimization programs collaborating with third-parties, product, and technology teams
  • Lead the design, execution, and analysis of A/B and multivariate testing programs driving rigor and a test-and-learn culture collaborating with product, sales, commercial, and engineering teams
  • Provide thought leadership on data flow/data capabilities to technology team to ensure data capabilities are top-notch and analytics-ready
  • Partner with external vendors as needed and evaluate in-house development vs. outsourcing/partnerships
  • Contribute to high-quality work as an individual contributor in addition to management duties
  • Employ and evaluate new advanced analytics/data science technologies to improve the company’s analytics capabilities
  • Establish a robust and scalable foundation of analytics capabilities/systems, and data to support the fast-growing Rhythm business
  • Establish strong relationships with internal partners such as sales, commercial, product, technology, and marketing teams
  • Develop the company’s risk analytics models delivering capabilities to measure and communicate market risks, risk reductions, and risk appetite using a probabilistic approach
  • Work closely with business owners and subject matter experts to develop new analytics and AI requirements
  • Assist with ad-hoc analytical tasks arising from day-to-day operational needs, M&A Activity, or market events
  • Develop an engaged analytics team and ensure key deliverables are prioritized, communicated, and delivered on time

The How:

  • 10+ years of experience in advanced analytics or heavily quantitative roles within the energy/electricity sector
  • Experience leading a team of quants and/or data scientists
  • Some experience in retail / consumer-facing energy industry is a definite asset
  • PhD or Master’s Degree in a highly quantitative discipline such as mathematics, statistics, physics, computer science, financial engineering, economics, or business
  • Strong commercial aptitude with the ability to employ scientific/theoretical/technical techniques while maintaining a commercial and pragmatic mindset
  • Experienced in design and development of customer insights utilizing big data capabilities, as well as development of portfolio level financial/economical analytics
  • Experienced in cashflow modelling, valuations, optimization methods, and risk management best practices
  • A proven track record of delivering quantitative solutions to generate value and impact key decisions
  • Ability to simplify huge data sets, complex problems and extracts insights with frameworks and formulate elegant solutions
  • Proficient in one or more of the following: Python, Matlab, VBA, Java, R
  • Experience with distributed data/computing tools: Hadoop, Hive, Spark, Oracle, SQL, Cosmos DB, Mongo DB, TimeScale DB etc.
  • Experienced in Amazon Web Services
  • Experience working with and creating data architectures
  • Ability to build clear and concise presentations and communicate to every level of the organization
  • Strong passion for technology and new advancements in computer science and analytics space
  • Ability to manage analytics vendors

Compensation and Benefits.

  • Competitive base salary and bonus
  • Complete benefits package including:
    • Flexible work schedule and remote work options
    • Unlimited PTO
    • Leave programs for all of life’s moments: maternity/paternity/medical
    • Medical, Dental, Vision and Prescription Drug Coverage
    • 401(k) Retirement Savings Plan
    • Flexible Spending and Health Savings Accounts

 

This job is no longer open
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