Job Description:
- As a Data Scientist in our team, your primary role will be to leverage your using analytical, statistical, and programmable skills to make sense of large amounts of data and complex datasets.
- You will be expected to work with energy usage data, hydraulic data, and pricing data to identify cost optimization strategies for a Fortune 500 midstream oil and gas company.
- Develop statistical models to identify cost saving opportunities.
- Use analytical tools to break down complex datasets to uncover patterns, insights, and trends.
- Work with SMEs and stakeholders to identify data modeling requirements and translate them into working datasets and models in data analysis tools.
- Collaborate with data engineering and software teams to integrate developed models into our system.
- Use visualization tools and spreadsheets to present data and insights to non-technical stakeholders.
- Conduct cost-benefit analysis and forecasting of various strategies and scenarios.
- Maintain clear communication with business stakeholders about findings and recommendations.
- BS/MS degree Mechanical or Chemical Engineering or relevant field; graduate degree in Computer Science, Data Science, or another quantitative field.
- Proven experience as a Data Scientist.
- Good statistical background.
- Proficient in Python and SQL, with a great understanding of statistical models.
- Oil and gas industry experience especially in relation to hydraulics modeling (pump head, pump efficiency, pipeline head loss) would be a excellent asset.
- Experience with data visualization tools such as Power-BI is a plus.
location: Houston, Texas
job type: Contract
salary: $8 - 9 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
- Develop statistical models to identify cost saving opportunities.
- Use analytical tools to break down complex datasets to uncover patterns, insights, and trends.
- Work with SMEs and stakeholders to identify data modeling requirements and translate them into working datasets and models in data analysis tools.
- Collaborate with data engineering and software teams to integrate developed models into our system.
- Use visualization tools and spreadsheets to present data and insights to non-technical stakeholders.
- Conduct cost-benefit analysis and forecasting of various strategies and scenarios.
- Maintain clear communication with business stakeholders about findings and recommendations.
qualifications:
- Experience level: Experienced
- Education: Bachelors
skills:
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
