Arcadia.com Logo

Arcadia.com

Lead Data Scientist

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in United States
146K-262K Annually
Mid level
Remote
Hiring Remotely in United States
146K-262K Annually
Mid level
The Lead Data Scientist will design and implement AI solutions, develop machine learning algorithms, and collaborate with leadership on technical strategies in the energy sector.
The summary above was generated by AI
Who We Are 

Arcadia is the global utility data and energy solutions platform. With our leading data platform, AI-powered analytics, industry expertise, and expansive partner network, we deliver solutions for every stage of the enterprise energy management lifecycle across carbon, cost, and reliability. 

Arcadia’s Enterprise Energy Management Solutions are built on a foundational data platform that has been developed for over a decade and scaled across millions of customer facilities.  We transform fragmented data and siloed processes into coordinated, enterprise-wide action with comprehensive solutions including:

  • Utility Bill Management:  Lower utility costs and streamline bill management with automated bill payment, proactive error identification, optimized tariff structures, and budgeting & forecasting.
  • Energy Procurement Advisory: Source clean energy through a comprehensive evaluation of supply options - including traditional retail options and onsite and offsite resources — to effectively manage risks, reduce costs, and achieve corporate sustainability goals.
  • Sustainability Reporting:  Achieve compliance goals and track carbon emissions with standardized energy data and seamless integration with leading sustainability platforms.

Tackling an enterprise client’s most critical energy challenges requires out-of-the-box thinking & diverse perspectives. We’re building a team of individuals from different backgrounds, industries, & educational experiences. If you share our passion for ushering in the era of the clean, cost-effective electrons, we look forward to learning what you would uniquely bring to Arcadia!

What we’re looking for:

We are seeking an innovative and results-oriented  Lead Data Scientist with a strong understanding of machine learning, generative AI, and data-driven product development to join our dynamic AI Strategy and Development Team. This pivotal role focuses on architecting and implementing cutting-edge AI solutions for the energy sector, working directly with leadership to shape our technical vision and product roadmap. This role will initially report to SVP, R&D.

Arcadia is remote-first and employees have access to co-working spaces. We are open to candidates based in Washington DC or New York.

#LI-REMOTE

 What you'll do:
  • Collaborate directly with executive leadership to shape the technical AI strategy and product development at Arcadia
  • Efficiently develop notebook-based and agentic solutions for internal and external customers, utilizing AI models, and Arcadia’s APIs and data
  • Lead the development and integration of Gen-AI models and agents into Arcadia’s products and processes
  • Design and implement Machine Learning algorithms for critical energy applications, including forecasting, anomaly detection, and energy optimization
  • Partner with data teams, Arcadia’s subject matter experts, and customer teams to seek, understand, validate, interpret, and correctly use data, models, and outputs.
  • Work with engineering to integrate models into the Arcadia Platform, contributing to design documents, code commits, and AI product documentation
  • Contribute code to enhance our platform’s  AI and data capabilities
  • Collaborate effectively with remote team members
What will help you succeed:
  • Gen AI experience - both in the development of agentic / LLM-based product features and the use of Gen AI-based products in day-to-day model development
  • 2-5 years of experience developing Machine Learning/AI-based systems  in an iiterative or dynamic/agile development environment. Experience in the energy sector is preferred. 
  • A minimum of 10-12 years of technical experience in data and/or engineering
  • Master’s or Doctoral degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
  • Practical experience with Applied Machine Learning techniques, including  regression, classification, and supervised/unsupervised learning 
  • Fluency with Python or R, SQL, and Java or JavaScript
  • Experience with software engineering for real-world applications (ideally through professional experience)
  • Strong foundation in mathematics including, linear algebra, calculus, probability, and statistics
  • Experience with scalable machine learning (MapReduce, streaming).
  • Experience with time series and dynamical systems.
  • Ability to manage projects and work efficiently independently and collaboratively
  • Ability to quickly formulate and document assumptions to advance projects
  • Strong commitment to continuous learning and professional growth,  solution-oriented, and committed to making a positive impact
  • Ability to communicate complex technical concepts to both technical and non-technical stakeholders
  • Prepared to share project portfolio (GitHub, papers, etc.).

Benefits:

  • "Remote first" culture - work anywhere in the US as long as you have a reliable internet connection
  • Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year
  • 12 annual holidays
  • 10 days sick leave
  • Up to 4 weeks bereavement leave
  • 2 volunteer days off
  • 2 professional development days off
  • 12 weeks paid parental leave for all parents
  • 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents

Eliminating carbon footprints, eliminating carbon copies.

Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation by emailing [email protected] prior to completing your application..

Target Base Range for this role will be $146,250 to $262,000. There will also be a competitive benefits and equity component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate. Please note that we are unable to offer visa sponsorship for this position at this time.

Automated Screening Technology: To ensure a fair and timely review of the high volume of applications we receive, Arcadia may utilize AI-assisted technologies to help our team identify candidates who best meet the qualification criteria for this role (based on skills, experience, and education).

Please Note: Automated tools provide recommendations based on your resume content and application questions. While we may use automated screening for basic eligibility (e.g., visa status, location), employment decisions regarding qualifications are not made solely by AI without human oversight.

Data Privacy & California Residents: You voluntarily provide personal information (such as your resume, contact details, and assessment responses) when submitting an application. We may use this to evaluate your candidacy and derive inferences from this data to match your profile with open roles. For California Residents: This collection is consistent with the CCPA. You have the right to request access to or deletion of your data by contacting [email protected]

*Visa Sponsorship

  • Select R&D & Data roles: We are proud to offer visa sponsorship opportunities for qualified candidates interested in joining our team
  • Other roles: Please note that we are unable to offer visa sponsorship for this position at this time

Thank you

Top Skills

Java
JavaScript
Python
R
SQL

Similar Jobs

Yesterday
Remote
United States
146K-262K Annually
Senior level
146K-262K Annually
Senior level
Greentech • Energy
The Lead Data Scientist will architect AI solutions for the energy sector, develop ML algorithms, and collaborate with leadership to shape product strategy.
Top Skills: AIData EngineeringJavaJavaScriptMachine LearningPythonRSQL
3 Days Ago
Remote
California, USA
Expert/Leader
Expert/Leader
Big Data • Marketing Tech • Analytics
The Lead Data Scientist will evaluate data assets, develop machine learning solutions, lead AI/ML systems design, and collaborate cross-functionally on analytics projects.
Top Skills: AWSPythonPyTorchSpark
19 Days Ago
In-Office or Remote
3 Locations
Senior level
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
Lead the design, development, and deployment of recommendation systems, mentor teams, manage projects, and collaborate with clients while ensuring the delivery of scalable ML solutions.
Top Skills: AzureDatabricksGoogle Cloud Platform (Gcp)PythonSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account