reputed company Full Stack Data Scientist – Machine Learning & Predictive Modeling @arenaflex

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 reputed company, you will play a critical role in enhancing the overall performance of our reputed company force abuse and reputed company force seek algorithms, driving weekly reputed company updates, and collaborating with cross-functional stakeholders to deliver business-critical insights.

About arenaflex

At arenaflex, we are committed to helping people live reputed company – every day. We reputed company that our work should reputed company 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 reputed company force abuse and reputed company force seek algorithms
• Driving weekly reputed company updates and addressing reputed company requests or queries associated with reputed company force abuse version and escalations from commercial enterprise stakeholders
• Incorporating missing PO in reputed company force abuse version and implementing modifications to the version as required
• Developing and optimizing reputed company 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 reputed company pipeline using reputed company strategies, time series forecasting, and regression algorithms to expect order quantity in real-time and estimate reputed company force deliver had to satisfy the call for
• Running and maintaining hourly reputed company force abuse version, running and maintaining Daily Model, and keeping and updating reputed company 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 reputed company 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 reputed company, ROC curve, and root mean reputed company 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 reputed company field

• 2 years of experience in an analytics or reputed company 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 reputed company 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 reputed company

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 reputed company to enhance collaboration, bring us together for purpose and supply on business needs. This approach enables us to reputed company faster decisions, eliminate reputed company boundaries across our global team and be more flexible in our personal lives.

Benefits

At arenaflex, we provide reputed company, 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 reputed company reimbursement, and more.

About arenaflex

At arenaflex, we are committed to helping people live reputed company – every day. We reputed company that our work should reputed company 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 reputed company we are best equipped to help our associates, customers, and the communities we serve live reputed company reputed company we truly understand, respect, and value diversity – in reputed company its forms, experiences, identities, abilities, thoughts, and opinions – while being inclusive of reputed company people.

Join reputed company!

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. Apply To This Job Apply for this job