RWE Clean Energy
Senior Associate, Data Science
RWE Clean Energy, Austin, Texas, us, 78716
RWE Clean Energy, LLC
To start as soon as possible, full time, permanent
Functional area: Engineering
Remuneration: Exempt
The Senior Associate, Data Science is responsible for supporting the development, deployment, and maintenance of analytics tools for the Data Engineering department. These tools address real-time and historical performance, provide underperformance alerts, and summarize relevant asset data for a variety of audiences including senior management.
The development of these tools and their associated platforms will be done in close collaboration with the IT department to ensure the systems and protocols are compatible with IT strategy and guidelines for the Company. Additionally, the Senior Associate, Data Science will collaborate closely with internal teams to incorporate the various performance analyses developed by cross-functional teams.
The ultimate goal of the Senior Associate, Data Science is to enhance the profitability of the portfolio scope of assets by identifying underperformance.
Responsibilities:
Active Development of Analytics Tools
Build and maintain analytics tools for data processing, report-building, and automation
Test and debug existing tools for compatibility and performance
Document and update code and tool specifications
System Specification
Design and implement infrastructure to support analytics tools
Monitor and troubleshoot system performance
Interdisciplinary Collaboration
Solicit feedback from engineering, operations, and asset management teams
Enhance the utility of analytics tools based on feedback
New Asset Onboarding
Map metadata within the PI system for assets being brought online
Maintain database consistency across assets
Presentation & Reporting
Communicate with stakeholders on project status and challenges
Create and deliver reports and presentations
Share new ideas to improve existing workflows and processes
Qualifications:
Bachelor’s degree or higher with quantitative focus in mathematics, statistics, engineering, computer science, data science, operations research, or related areas
Minimum of 5 years’ data science work experience
Programming experience in Python and preferably SQL
Familiarity with basic electrical concepts (e.g. voltage, current, resistance, power, AC & DC circuits) preferred
Strong interest in renewable/clean energy systems
Strong knowledge of data science principles and methodologies (e.g. machine learning, statistical inference, hypothesis testing, time series analysis, data visualization).
Python programming (e.g. scripting, version control, optimization)
Query-based programming experience (e.g. SQL) preferred
Strong quantitative skills
Exceptional communication and organizational skills
Strong interpersonal skills
Ability to multi-task, while working independently and as part of a team
Ability to meet deadlines
Motivated self-starter, goal-oriented
Is detail-oriented, has strong business acumen, and a sound understanding of business concepts
Commitment to process discipline, continuous improvement and business conduct
Strong organization skills and ability to coordinate multiple tasks and deliverables
Excellent proficiency with Microsoft Office (Excel, Word, PowerPoint, Outlook) and Teams
Proven ability to empathize, build relationships, and effectively communicate with people from diverse backgrounds
Responds well to direction, is easy to challenge and develop, and is coachable
Demonstrated desire to learn about the Company and the renewables space
Pay range: The annual base salary range for this position in Illinois is $117,000-175,000. The listed salary range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only. RWE considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s education & work experience, training & certifications, and key skills as well as market and business considerations at the time of the offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. Eligible employees also participate in short-term incentives, in addition to salary.
Apply with just a few clicks: ad code 88774
We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.
We are an Equal Opportunity Employer. No matter who you are, we welcome your application irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
RWE Clean Energy is one of the biggest names in the US renewables industry – and No.2 in solar. With a 1,500-strong team, the business has over 15 years’ experience of developing, constructing and operating renewable energy facilities, and ambitious plans for the future.
As part of the RWE Group’s Growing Green strategy to expand globally its green portfolio to more than 65 GW of installed capacity and to invest globally more than EUR 55 billion gross by 2030, RWE Clean Energy is determined to significantly increase its operating asset base in the U.S. This is backed by a project pipeline of more than 24 GW in onshore wind, solar and battery storage which provides for one of the largest development platforms in the United States.
Every project brings constantly-evolving technical, practical and social challenges – and drives a culture where everybody thrives, has fun and feels excited by each day. Our financial stability also means you’ll have the freedom to act with conviction and courage as we pivot to new technologies – and continuously improve, together.
To start as soon as possible, full time, permanent
Functional area: Engineering
Remuneration: Exempt
The Senior Associate, Data Science is responsible for supporting the development, deployment, and maintenance of analytics tools for the Data Engineering department. These tools address real-time and historical performance, provide underperformance alerts, and summarize relevant asset data for a variety of audiences including senior management.
The development of these tools and their associated platforms will be done in close collaboration with the IT department to ensure the systems and protocols are compatible with IT strategy and guidelines for the Company. Additionally, the Senior Associate, Data Science will collaborate closely with internal teams to incorporate the various performance analyses developed by cross-functional teams.
The ultimate goal of the Senior Associate, Data Science is to enhance the profitability of the portfolio scope of assets by identifying underperformance.
Responsibilities:
Active Development of Analytics Tools
Build and maintain analytics tools for data processing, report-building, and automation
Test and debug existing tools for compatibility and performance
Document and update code and tool specifications
System Specification
Design and implement infrastructure to support analytics tools
Monitor and troubleshoot system performance
Interdisciplinary Collaboration
Solicit feedback from engineering, operations, and asset management teams
Enhance the utility of analytics tools based on feedback
New Asset Onboarding
Map metadata within the PI system for assets being brought online
Maintain database consistency across assets
Presentation & Reporting
Communicate with stakeholders on project status and challenges
Create and deliver reports and presentations
Share new ideas to improve existing workflows and processes
Qualifications:
Bachelor’s degree or higher with quantitative focus in mathematics, statistics, engineering, computer science, data science, operations research, or related areas
Minimum of 5 years’ data science work experience
Programming experience in Python and preferably SQL
Familiarity with basic electrical concepts (e.g. voltage, current, resistance, power, AC & DC circuits) preferred
Strong interest in renewable/clean energy systems
Strong knowledge of data science principles and methodologies (e.g. machine learning, statistical inference, hypothesis testing, time series analysis, data visualization).
Python programming (e.g. scripting, version control, optimization)
Query-based programming experience (e.g. SQL) preferred
Strong quantitative skills
Exceptional communication and organizational skills
Strong interpersonal skills
Ability to multi-task, while working independently and as part of a team
Ability to meet deadlines
Motivated self-starter, goal-oriented
Is detail-oriented, has strong business acumen, and a sound understanding of business concepts
Commitment to process discipline, continuous improvement and business conduct
Strong organization skills and ability to coordinate multiple tasks and deliverables
Excellent proficiency with Microsoft Office (Excel, Word, PowerPoint, Outlook) and Teams
Proven ability to empathize, build relationships, and effectively communicate with people from diverse backgrounds
Responds well to direction, is easy to challenge and develop, and is coachable
Demonstrated desire to learn about the Company and the renewables space
Pay range: The annual base salary range for this position in Illinois is $117,000-175,000. The listed salary range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only. RWE considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s education & work experience, training & certifications, and key skills as well as market and business considerations at the time of the offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. Eligible employees also participate in short-term incentives, in addition to salary.
Apply with just a few clicks: ad code 88774
We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.
We are an Equal Opportunity Employer. No matter who you are, we welcome your application irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
RWE Clean Energy is one of the biggest names in the US renewables industry – and No.2 in solar. With a 1,500-strong team, the business has over 15 years’ experience of developing, constructing and operating renewable energy facilities, and ambitious plans for the future.
As part of the RWE Group’s Growing Green strategy to expand globally its green portfolio to more than 65 GW of installed capacity and to invest globally more than EUR 55 billion gross by 2030, RWE Clean Energy is determined to significantly increase its operating asset base in the U.S. This is backed by a project pipeline of more than 24 GW in onshore wind, solar and battery storage which provides for one of the largest development platforms in the United States.
Every project brings constantly-evolving technical, practical and social challenges – and drives a culture where everybody thrives, has fun and feels excited by each day. Our financial stability also means you’ll have the freedom to act with conviction and courage as we pivot to new technologies – and continuously improve, together.