Job description
- The ability to make an impact and shape your career with a company that is passionate about growth.
- The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best.
- Thrive in a company that values sustainability, drives a safety-focused culture and has been recognized as one of the most ethical companies in the world.
- Comprehensive benefits package starting day 1 of employment - medical, dental, vision, matching 401k, and more!
- Participates as a member of team of research scientists analyzing emissions data and developing novel approaches to data analysis and software.
- Performs/executes data analysis procedures and data insight visualizations for assigned projects.
- Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.
- Collects, records, and analyzes data using established protocols and processes; communicates findings to other team members for review and feedback.
- Assists in literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
- Contribute to all stages of data modeling and analytics projects, including problem formulation, solution development, and product deployment:
- Translate business-relevant scientific, engineering, and commercial problems into questions that may be addressed using data science.
- Perform exploratory data analysis for quality control and improved understanding.
- Collaborate with team to rigorously and reproducibly build, analyze, and compare statistical and/or machine learning models.
- Deploy data-analytic products to end-users and/or document data-analytic results in technical reports.
- Master of Science Degree in Mathematics + three (3) year experience OR PhD in Mathematics.
- Strong expertise in Microsoft software suite and programming languages (Python).
- Experience supporting several data projects in Python.
- Collecting data through setting up and managing new experimental and theoretical studies.
- Transferring data into a new format to make it more appropriate for analysis.
- Creating a new, experimental frameworks to collect data.
- Searching through large data sets for usable information, such as long-term trends.
- Derive and implement new Calibration curves with improved correlations compared to current models.
- Creating reports and presentations for business uses.
- Correlating similar data for find actionable results.
- Expertise in Python for modeling and user interface designs.
- Self-Driven work ethic.
- Excellent oral and written communication skills - Expresses thoughts clearly, both orally and in writing, using good grammar. Listens to understand input, feedback and concerns. Provides complete information in an open, honest and straightforward manner. Responds promptly and positively to questions and requests.
- Strong analytical and critical thinking skills - Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions; Works well in group problem solving situations; Uses reason even when dealing with emotional topics.
- Strong organizational and time management skills, with the ability to work with minimal supervision - Prioritizes and plans work activities; Uses time efficiently; Plans for additional resources; Sets goals and objective; Develops realistic action plans.
- Strong computer skills, including Microsoft Office suite - Picks up on technical things quickly; can learn new skills and knowledge is good at learning new industry, company, product, or technical knowledge; does well in technical courses and seminars.
- Business Acumen - Knows how businesses work; knowledgeable in current and possible future policies, practices, trends, and information affecting his/her business and organization; knows the competition; is aware of how strategies and tactics work in the marketplace.
- Strategic Thinking - Develops strategies to achieve organizational goals; Understands organization's strengths and weaknesses; Analyzes market and competition; Identifies external threats and opportunities; Adapts strategy to changing conditions.
In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA). Our goal is to fully utilize minority, female, disabled and covered veteran individuals at all levels of the workforce.
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance.
About ChampionX
Revenue: $1 to $5 billion (USD)
Size: 5001 to 10000 Employees
Type: Company - Public
Website: www.championx.com
Year Founded: 2020