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Revantage Corporate Services, LLC
Sr. Associate, Data Scientist
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Based on Illinois data
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$101,074 / year median in Illinois
+16% projected growth
Job Description
Sr. Associate, Data Scientist Revantage Corporate Services, LLC
- 2.7 Springfield, IL Job Details Full-time $123,684
- $164,868 a year 4 days ago Benefits Paid holidays Health insurance 401(k) Paid time off Qualifications AI models Time series models Predictive modeling analysis Machine intelligence Bachelor's degree Inferential statistics Model deployment Managing projects Predictive analytics projects Providing code feedback Full Job Description Who We Are Revantage, a Blackstone Real Estate portfolio company, is a global provider of corporate services.
What We Value:
Our Culture Our people are our most important asset, enabling Blackstone portfolio companies and investments to scale and thrive. Together, we foster a workplace where everyone can be themselves, enabling them to do their best work. At Revantage, we have exceptional people who live our values and help us pursue better every day. We offer dynamic and meaningful work, competitive compensation, benefits and flexibility. We listen and take action to ensure our organization evolves to reflect our employees' voices and support an inclusive culture. Our demonstrated commitment to our people and collaborative culture have earned us numerous awards as a top employer. Our culture is built on our shared core values and commitment to be: Learners- We learn from our challenges and successes Leaders
- We commit to continuous improvement Enthusiasts
- We face challenges with optimism and believe anything is possible Achievers
- We expect high standards for ourselves and enable the success of our teams Partners
- We deliver value and positive impact to our partners Grow your career with us.
What You Bring To The Role Required:
5-7 years of professional experience in data science, machine learning, software engineering, or related fields, leveraging statistics and programming to drive business decisions. Proven expertise in building machine learning models, including time series forecasting and classification, optimizing business operations and decision-making. Experience working in fast-paced environments with tight deadlines, managing multiple projects simultaneously. Demonstrated ability to work effectively within a team, producing and reviewing code written by peers. Bachelor's degree in relevant field.Technical Skills:
Advanced proficiency in Python, including libraries such as scikit-learn and statsmodels. Strong expertise in SQL for data extraction and transformation. Familiarity with GitLab/Azure Devops for collaborative development and version control. Strong understanding of evaluation metrics and hyperparameter tuning for machine learning models. Solid grounding in statistics for inference and analysis. Familiarity with time series analysis, regression models, and econometric techniques.Preferred:
Familiarity with revenue management theory and pricing strategies is a plus. Advanced degree (master's or Ph.D.) in a relevant field is a plus.Base Compensation Range:
$123,684.00 To $164,868.00 Annually. This represents the presently-anticipated low and high end of the Company's base compensation range for this position. Actual base compensation range may vary based on various factors, including but not limited to location and experience.Total Direct Compensation :
This job is also eligible for discretionary bonus and incentive compensation on an annual basis.Benefits:
The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO). The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility. Perks for You Competitive salary, overall compensation, and 401(k) Work-life balance offerings include: Hybrid Work Policy Productivity Hours- weekly meeting-free work time Summer Fridays Work From Anywhere Month In-house and external learning & development opportunities Generous health insurance and wellness benefits Please review the Job Applicant Privacy Notice.
Benefits
- Paid Time Off (PTO)
- 401(k) Plans
- Other Retirement and Savings
- Health Insurance