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

Are you a highly motivated and skilled data scientist looking to take your career to the next level? Do you have a passion for machine learning, predictive modeling, and driving business growth? Look no further than this exciting opportunity to join the arenaflex team as an Experienced Full Stack Data Scientist!

About arenaflex

arenaflex is a leading retail and technology company that is revolutionizing the way people shop and live. With a commitment to innovation, sustainability, and customer satisfaction, we are shaping the future of retail and beyond. As a data scientist at arenaflex, you will play a critical role in driving business growth, improving customer experiences, and informing strategic decisions.

Job Responsibilities

As an Experienced Full Stack Data Scientist, you will be responsible for building and deploying machine learning models that drive business growth and improve customer experiences. Your key responsibilities will include:

• Building and optimizing machine learning models using parametric and non-parametric distributions to enhance the overall performance of motive force abuse and motive force seek algorithms in arenaflex's Last Mile group
• Driving weekly reputation updates and handling ad-hoc requests or queries associated with motive force abuse version and escalations from commercial enterprise stakeholders, including AE escalations
• Incorporating lacking PO in motive force abuse version and implementing modifications to the version as required
• Responsible for optimization and development of motive force abuse models used by the Trust & Safety group to flag drivers and take vital movements primarily based on the output of version that includes applying deep learning methodologies, CNNs, Neural networks, picture classification, choice tree, random forest, and clustering algorithms, K means, and T-Sne
• Automating the driving force abuse pipeline for every day and hourly reviews by including additive models
• 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
• Responsible for going for walks and keeping hourly motive force abuse version, going for walks and keeping 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 model outcomes
• Support the client requirements and design data representations for complex data
• Develop end-to-end predictive models for product improvements and optimization of present capabilities
• Apply 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 model ensembles
• Perform extensive data and statistical analysis by extracting relevant data using coding tools including 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

* 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

Preferred Qualifications

* 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 making use of database technology for data extraction, data manipulation, and data pre-processing using SQL
• Experience with code development and testing
• Experience with coding languages including 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 function 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 location 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 great 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 help with 100% business-paid university degrees, business discounts, military service pay, adoption rate reimbursement, and more.

About arenaflex

At arenaflex, we help people save money to live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As an arenaflex associate, you'll play a critical role in shaping the future of retail, tech, merchandising, finance, and many other industries—all while affecting the lives of millions of customers around the world. Here, your work makes an impact every day. What are you ready for?

arenaflex is an Equal Opportunity Employer-By Choice

We believe we're best equipped to help our associates, customers, and the communities we serve live better when we truly understand, respect, and value diversity—specific styles, experiences, identities, abilities, thoughts, and opinions—while being inclusive of all people. That means knowing, respecting, and valuing diversity—specific styles, 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're looking for, please submit your application today. Apply To This Job Apply for this job