Senior Data Scientist
Reports To: VP of Data Science
Location: Remote (Chicago, IL)
Environment: Remote
Status: Salaried (Fulltime)
Work Schedule: 8:00 AM to 5:00 PM CST.
Who We Are:
Redwood Logistics is one of the fastest growing and most innovative 4PL providers offering supply chain execution and next-generation supply chain technology solutions. For more than 20 years, Redwood Logistics has been helping move businesses forward by connecting our clients to winning strategies. As a next-generation leader in forth-party logistics (4PL), we live at the intersection of logistics and technology.
Our continued success is driven by our fearless and innovative people. Being part of the Redwood family means taking the road less traveled, building each other up to greatness, and always leaving room for fun!
Purpose of Your Work:
The Redwood Logistics Data Science team is looking for a Senior Data Scientist to help create processes and data science products that are linked to increased net revenue and lower cost to serve. The Senior Data Scientist will be responsible for executing the tools, processes, and methods to enable automation and prescriptive analytics.
How You Make a Difference Everyday:
- Data mining and extraction of usable data from disparate data sources
- Structured and unstructured data preprocessing such as data cleaning, transformations, and standardization
- Feature engineering and selection using “best in class” feature selection methods
- Training, testing, and deploying classification and regression models
- Model performance evaluation and selection
- Understanding and communicating value-add from implementing various models
- Ability to understand business strategy and associated data science applications
You’ve Got This?
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required.
- A minimum of 3 years of experience with Python and SQL
- Understanding of basic database principles required
- Solid understanding of inferential statistics, including multivariate regression
- Ability to create compelling visualizations that summarize multivariate models, ideally in multiple frameworks (Tableau, Matplotlib, GGPlot, etc)
- A minimum of 3 years of Data Science experience training and validating statistical and ML models
- A minimum of 3 years of experience using Cloud platforms (e.g., Azure)
- Bachelor’s degree or equivalent (minimum 6 years) work experience
- Ability to work independently, with minimal instruction
Preferred Qualifications
- Experience with automation of ETL processes
- Experience with optimization and Bayesian models
- Experience with normalization of third-party datasets a plus
- Experience with logistics space a plus
- Advanced degree
Rewards:
- Paid time off, with extra floating holiday, time off to volunteer and rollover
- Paid parental leave policies
- Medical, dental, vision and 401k plans (with match)
- Culture of unlimited growth with new positions and departments created regularly to support our growing customer base
- Employee referral bonus program
- Flexible Spending Account, mass transit and dependent care plans available
- Health savings account, with a liberal annual company contribution for plan participants
- Short-term, long-term and life insurance policies subsidized by company
- Additional benefits including pet insurance, accident care, access to legal advice and more
Redwood is an equal opportunity employer. Employment decisions at the Company are based on individual merit, qualifications, abilities, and the Company’s needs and resources. The Company does not discriminate in recruiting, hiring, compensation, promotions, discipline, termination or any other aspect of employment on the basis of an individual’s actual or perceived race, color, creed, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, national origin, ancestry, citizenship status, age, disability, marital status, military service or status, genetic information, arrest and conviction record, credit history, or any other basis protected by applicable law.
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