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, businesspeople, 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 systems 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 customer level and portfolio level models using new technologies
• Contribute to 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
• Develop model-ready enriched data sets working with the Data Engineering team and contribute to the development of 360-Single-Customer data views, Time-Series data views, and data marts
• Collaborate with Marketing Analytics on 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
• Develop the company’s risk analytics models delivering capabilities to measure and communicate market risks, risk reductions, and risk appetite using a probabilistic approach
• Contribute to the development of Supply systems related to ETRM and Position Management tools
• Contribute to the design and implementation of the company’s demand response programs collaborating with third-parties, product, and technology teams
• Work closely with business owners and subject matter experts to develop new analytics and AI requirements

The How:

• 8+ years of experience in analytics or quantitative roles
• 3+ years of experience in Information Technology roles would be a definite asset
• Some experience in retail / consumer-facing energy or wholesale energy industry is a definite asset
• Master’s Degree in a quantitative discipline such as mathematics, computer science, engineering, financial engineering, or economics
• Strong commercial aptitude with the ability to employ technical methods while maintaining a commercial and pragmatic mindset
• Experienced with machine learning and deep learning
• Experienced in design and development of customer insights utilizing big data capabilities, as well as development of portfolio level financial/economical analytics
• Solid experience in programming and writing robust and scalable code
• 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

Location: 

• Houston, Texas

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