Join arenaflex, a leading retail and technology company, as a Full Stack Data Scientist in our Last Mile group. This role offers a unique opportunity to drive innovation and growth in our business, leveraging your expertise in machine learning, predictive modeling, and data analysis. As a key member of our team, you will play a critical role in enhancing the overall performance of our motive force abuse and motive force seek algorithms, driving weekly reputation updates, and collaborating with cross-functional stakeholders to deliver business-critical insights.
**About arenaflex**
At arenaflex, we are committed to helping people live better – every day. We believe that our work should make a positive impact on people's lives, and we strive to create a culture that values diversity, inclusion, and respect. As a Full Stack Data Scientist, you will be part of a dynamic team that is shaping the future of retail, technology, and beyond.
**Job Responsibilities**
As a Full Stack Data Scientist, you will be responsible for:
* Building and optimizing machine learning models to enhance the performance of our motive force abuse and motive force seek algorithms
* Driving weekly reputation updates and addressing ad-hoc requests or queries associated with motive force abuse version and escalations from commercial enterprise stakeholders
* Incorporating missing PO in motive force abuse version and implementing modifications to the version as required
* Developing and optimizing motive force abuse models used by the Trust & Safety group to flag drivers and take vital movements primarily based on the output of the version
* Automating the driving force abuse pipeline for daily and hourly reviews by including additive fashions
* Building new store release call for prediction pipeline using ensemble strategies, time series forecasting, and regression algorithms to expect order quantity in real-time and estimate motive force deliver had to satisfy the call for
* Running and maintaining hourly motive force abuse version, running and maintaining Daily Model, and keeping and updating motive force abuse dashboards
* Creating powerful reporting and dashboards using understanding in data visualization (e.g., Python libraries, GGplot, Matplotlib, Ploty, and Tableau) to generate suitable graphical representations of data and version outcomes
* Supporting client requirements and designing data representations for complex data
* Developing end-to-end predictive models for product improvements and optimization of present capabilities
* Applying best practices for model optimization, testing, and tuning using Chi square, ROC curve, and root mean square error to evaluate accuracy, fit, validity, and robustness of multi-level models and version ensembles
* Performing extensive data and statistical analysis by extracting relevant data using coding tools such as Python, Pandas, and SQL from diverse 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**
* Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field
* 2 years of experience in an analytics or related field
**Desirable Skills and Experience**
* 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 strategies and techniques
* 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 digital while not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and supply on business needs. This approach enables us to make faster decisions, eliminate place boundaries across our global team and be more flexible in our personal lives.
**Benefits**
At arenaflex, we provide 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 are committed to helping people live better – every day. We believe that our work should make a positive impact on people's lives, and we strive to create a culture that values diversity, inclusion, and respect. As a Full Stack Data Scientist, you will be part of a dynamic team that is shaping the future of retail, technology, and beyond.
**Equal Opportunity Employer**
arenaflex is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we truly understand, respect, and value diversity – in all its forms, experiences, identities, abilities, thoughts, and opinions – while being inclusive of all people.
**Join Our Team!**
This is a fantastic opportunity to grow your career. If you have the skills and passion we are looking for, please submit your application today.