Data Scientist
Louisville, Colorado, United States - Remote
Full Time Mid-level / Intermediate USD 110K - 160K
Resource Innovations
Women-led energy transformation firm providing clean energy services and software solutions for utilities and government agencies. See how we can help you.Resource Innovations is seeking a Mid-Level level Data Scientist to join our growing team ideally in Louisville, Colorado or (USA), Toronto, Ontario (Canada), however, other locations will be considered as well. As a Data Scientist with Resource Innovations, you will be responsible for providing analytical solutions for our utility, software, and energy efficiency delivery teams and clients.
Specific responsibilities will include supporting: application development, data analysis, and identifying solutions for electric and gas utilities. Candidates with more than 3 years of work experience are encouraged to apply.
Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we’re constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we’re leading the charge to power change.
Duties and Responsibilities
- Develop data-driven solutions to operational needs, regulatory mandates, and customer outreach.
- Familiarity with the full data science stack, with a focus on machine learning, data visualization and communication of complex results to a variety of audiences
- Write production-level machine learning pipeline code.
- Create solution architectures including integration with Amazon Web Services (AWS) and /or Azure.
- Participate in meetings, conference calls, and email exchanges with clients.
- Track energy industry trends and emerging issues
- Other duties as assigned.
Requirements
- A Bachleor's Degree in a quantitative field is required
- Previous work experience in one or more of the following disciplines: data science, economics, statistics, public policy with a quantitative focus, or computer science
- Experience performing advanced customer data analytics, including propensity modeling and high frequency consumption data analysis
- Coursework and/or practical experience in machine learning, applied econometrics and/or statistical program evaluation
- Real world experience scraping and/or munging large data sets
- Programming experience using R, Python and SQL to build and deploy regression, classification, and other statistical models
- Experience building machine learning pipelines
- Strong written and oral communication skills
- Experience with model selection and validation methods
- Strong data visualization skills
- Understanding of relational databases and basic architectural principles
- Preferred Qualifications
- Experience with AWS and/or Azure to deliver data-driven solutions
- AWS certifications are highly preferred
- Experience using Tableau or other data visualization software
- Familiar with the use of version control (e.g. git/Github)
Benefits
Resource Innovations offers competitive salaries based on candidate's qualifications. Resource Innovations also offers three weeks paid vacation per year, paid holidays, a 401(k) plan with employee matching funds, a discretionary bonus and an overall comprehensive benefits package.
About Resource Innovations
Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we’re constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we’re leading the charge to power change.
Resource Innovations is an Equal Opportunity Employer, committed to ensuring equal employment opportunities for all job applicants and employees without regard to race, color, religion, national origin, gender, age, disability, marital status, genetics, protected veteran status, sexual orientation, or any other protected status. In addition to federal law requirements, Resource Innovations complies with applicable state and local laws governing non-discrimination in employment in every location in which the company does work.
The above job description and job requirements are not intended to be all inclusive. Resource Innovations retains the right to make changes or adjustments to job descriptions and/or job requirements at any time without notice.
The compensation range for this exempt position is $110000- $160000. The stated range is based on a good faith estimate of the compensation range for the duties, responsibilities and skills / experience required for the position. Starting pay will be dependent on experience and internal equity. This provided range may exceed this range for well-qualified candidates, especially with industry experience.
Tags: Architecture AWS Azure Classification Computer Science Data analysis Data Analytics Data visualization Econometrics Economics Genetics Git GitHub Machine Learning Pipelines Python R RDBMS SQL Statistics Tableau
Perks/benefits: Career development Competitive pay Equity Gear Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Principal Data Engineer jobs
- Open BI Analyst jobs
- Open Data Analyst Intern jobs
- Open Business Intelligence Engineer jobs
- Open Product Data Analyst jobs
- Open Lead Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Data Manager jobs
- Open Big Data Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Power BI Developer jobs
- Open Senior Manager, Data Science jobs
- Open Data Analytics Engineer jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open Lead Machine Learning Engineer jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Data Engineering Manager jobs
- Open Head of Data jobs
- Open Business Intelligence Developer jobs
- Open Clinical Data Manager jobs
- Open Data pipelines-related jobs
- Open Privacy-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open APIs-related jobs
- Open Snowflake-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open NLP-related jobs
- Open Scala-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Kafka-related jobs