Experienced Full Stack Data Scientist – Machine Learning and Predictive Modeling for arenaflex's Last Mile Group
At arenaflex, we're on a mission to revolutionize the retail industry with cutting-edge technology and innovative solutions. As a key member of our Last Mile group, you'll play a critical role in developing and implementing machine learning models that drive business growth and improve customer satisfaction. We're seeking an experienced Full Stack Data Scientist to join our team and help us achieve our goals.
About arenaflex
arenaflex is a leading retail company that's committed to helping people save money to live better. Our mission is to provide our customers with the best possible shopping experience, and we're always looking for talented individuals who share our vision. As a data scientist at arenaflex, you'll have the opportunity to work on exciting projects that impact millions of customers worldwide.
Job Responsibilities
As a Full Stack Data Scientist, you'll be responsible for building and deploying machine learning models that enhance the performance of our Last Mile group. Your primary duties will include:
- Building machine learning models using parametric and non-parametric distributions to optimize the performance of our driver abuse and driver seek algorithms
- Driving weekly reputation updates and handling ad-hoc requests or queries related to driver abuse version and escalations from business stakeholders
- Incorporating missing PO in driver abuse version and implementing modifications to the version as required
- Optimizing and developing driver abuse models used by the Trust & Safety group to flag drivers and take critical actions based on the output of the model
- Automating the driver abuse pipeline for daily and hourly reviews by adding additive models
- Building new store release demand prediction pipeline using ensemble strategies, time series forecasting, and regression algorithms to predict order quantity in real-time and estimate driver delivery needed to satisfy the demand
- Running and maintaining hourly driver abuse version, running and maintaining Daily Model, and maintaining and updating driver abuse dashboards
- Creating powerful reporting and dashboards using data visualization techniques (e.g., Python libraries, GGplot, Matplotlib, Plotly, and Tableau) to generate suitable graphical representations of data and model outcomes
- Supporting client requirements and designing data representations for complex data
- Developing end-to-end predictive models for product improvements and optimization of existing features
- Applying best practices for model optimization, testing, and tuning using Chi-squared, ROC curve, and root mean squared error to evaluate accuracy, fit, validity, and robustness of multi-level models and model ensembles
- Performing extensive data and statistical analysis by extracting relevant data using coding tools such as Python, Pandas, and SQL from various data resources and data mining strategies to recognize underlying distributions (including left skewed, right skewed, normal distributions, CLTs, Standard deviations, and significant tendency) and patterns in data
Minimum Qualifications and Experience
To be considered for this role, you'll need:
- A Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field
- At least 2 years of experience in an analytics or related field
- Experience with model building and optimization
- Experience with machine learning and deep learning algorithms
- Experience with predictive, statistical, and analytical modeling and exploratory data analysis techniques and strategies
- Experience with parametric and non-parametric distributions to enhance the overall performance of models
- Experience with model evaluation and validation, model fit, and testing, tuning, and validation strategies
- Experience with the effect of variables and features on model performance
- Experience growing powerful reporting and dashboards using data visualization including Python libraries, GGplot, Matplotlib, and Tableau to generate suitable graphical representations of data and model outcomes
- Experience with data source identification and data set creation
- Experience with functional business area and scenarios
- Experience applying database technology for data extraction, data manipulation, and data pre-processing using SQL
- Experience with code development and testing
- Experience with coding languages such as SQL, Python, and Pandas
- Experience learning underlying traits and data distributions to discover user pain points and recommend upgrades to product teams
- Experience participating with team members to facilitate communications across different aspects of the wider team
- Experience with Git and Github
Flexible, Hybrid Work
We use a hybrid approach to working that is primarily in-office coupled with virtual when not on-site. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and provide on business needs. This approach enables us to make faster decisions, eliminate location boundaries across our global team and be more flexible in our personal lives.
Benefits
At arenaflex, we offer competitive pay, as well as performance-based incentive awards and other excellent benefits for a happier mind, body, and wallet. Health benefits include medical, vision, and dental coverage. Financial benefits include 401(k), stock buy, and business-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, own family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, education assistance with 100% business-paid university degrees, business discounts, military service pay, adoption rate reimbursement, and more.
About arenaflex
At arenaflex, we believe that everyone deserves to live better. That's why we're committed to helping people save money and achieve their goals. As a data scientist at arenaflex, you'll have the opportunity to work on exciting projects that impact millions of customers worldwide. Our team is passionate about using data and technology to drive business growth and improve customer satisfaction.
Equal Opportunity Employer
arenaflex is an Equal Opportunity Employer-By Choice. We believe that we're best equipped to help our associates, customers, and the communities we serve live better when we truly understand, respect, and value diversity – unique styles, experiences, identities, abilities, thoughts, and opinions – while being inclusive of all people. If you're passionate about using data and technology to drive business growth and improve customer satisfaction, we encourage you to apply for this exciting opportunity. Join our team and help us revolutionize the retail industry! Apply for this job