Data Scientist I
Role details
Job location
Tech stack
Job description
POSITION SUMMARY: The Data Scientist I drives internal data analytics projects. The role collaborates with executive leaders to deliver analytical solutions to business problems. Initiatives vary from descriptive analyses to the development and implementation of advanced statistical, machine learning, and AI models. The Data Scientist I effectively communicates both technical and business concepts across all levels of the organization, and they influence decision making through presentation of data-based recommendations., * Builds statistical and machine-learning models to enhance understanding of trends and predict future performance
- Participates in end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking
- Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas
- Transforms data into actionable insights and recommendations
- Designs experiments and interprets the results to draw detailed and actionable conclusions
- Researches and resolves data inquiries and requests
- Documents requirements for data science and reporting projects
- Designs, validates, and evaluates solutions using R, Python, SQL, and other programming tools
- Performs other job-related duties as assigned., Our company values guide our daily actions:
- Safe: We protect the livelihoods of our colleagues and communities.
- Committed to Serve: We go above and beyond to exceed our customers' expectations.
- Environmentally Responsible: We take action to improve our environment.
- Driven: We deliver results in the right way.
- Human-Centered: We respect the dignity and unique potential of every person.
We are proud of our high employee engagement score of 86. We have an inclusive and diverse culture where every voice counts. In addition, our team positively impacted 4.6 million people in 2023 through the Republic Services Charitable Foundation and local community grants. These projects are designed to meet the specific needs of the communities we serve, with a focus on building sustainable neighborhoods.
STRATEGY
Republic Services' strategy is designed to generate profitable growth. Through acquisitions and industry advancements, we safely and sustainably manage our customers' multiple waste streams through a North American footprint of vertically integrated assets.
We focus on three areas of growth to meet the increasing needs of our customers: recycling and waste, environmental solutions and sustainability innovation.
With our integrated approach, strengthening our position in one area advances other areas of our business. For example, as we grow volume in recycling and waste, we collect additional material to bolster our circularity capabilities. And as we expand environmental solutions, we drive additional opportunities to provide these services to our existing recycling and waste customers.
Recycling and Waste
We continue to expand our recycling and waste business footprint throughout North America through organic growth and targeted acquisitions. The 13 million customers we serve and our more than 5 million pick-ups per day provide us with a distinct advantage. We aggregate materials at scale, unlocking new opportunities for advanced recycling. In addition, we are cross-selling new products and services to better meet our customers' specific needs.
Requirements
Do you have experience in Query management?, Do you have a Master's degree?, * Proficiency with programming in Python or R in data science and/or statistical analysis settings.
- Proficiency with relational databases and the ability to write SQL queries.
- Proficiency with Excel and PowerBI., * Master's degree preferred.
- 1 year of experience working with large databases to perform complex analysis.
- 1 year of experience with statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees., * Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).
- 1 year of experience with advanced programming in Python or R and SQL, conducting complex statistical analysis and building machine learning algorithms with large databases.
Benefits & conditions
Pulled from the full job description
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Employee stock purchase plan
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AD&D insurance
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Health insurance
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Retirement plan
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Paid time off
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Employee discount
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Vision insurance, Eligible employees can elect to participate in:
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Comprehensive medical benefits coverage, dental plans and vision coverage.
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Health care and dependent care spending accounts.
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Short- and long-term disability.
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Life insurance and accidental death & dismemberment insurance.
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Employee and Family Assistance Program (EAP).
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Employee discount programs.
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Retirement plan with a generous company match.
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Employee Stock Purchase Plan (ESPP).
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Paid Time Off (PTO)
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Benefits: https://jobs.republicservices.com/us/en/about-us/benefits
The statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position, and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required by an incumbent so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company.