Experienced Full Stack Data Scientist – Retail Operations and Forecasting

Are you a highly skilled data scientist with a passion for retail operations and forecasting? Do you have a strong background in mathematics, statistics, and machine learning? Are you looking for a challenging and rewarding role that will allow you to make a real impact on the retail industry? If so, we may have the perfect opportunity for you!

About arenaflex

arenaflex is a leading provider of innovative solutions for the retail industry. We are committed to helping our clients improve their operations, increase efficiency, and drive revenue growth. Our team of experts is dedicated to delivering high-quality solutions that meet the evolving needs of our clients.

Job Summary

We are seeking an experienced full stack data scientist to join our team. As a data scientist at arenaflex, you will be responsible for developing and implementing advanced machine learning algorithms to improve retail operations and forecasting. You will work closely with our team of data engineers, scientists, and business stakeholders to design, develop, and deploy data-driven solutions that drive business value.

Key Responsibilities

* Develop and implement advanced machine learning algorithms to improve retail operations and forecasting

• Collect, organize, analyze, interpret, and summarize large datasets to generate key insights and drive business decisions
• Analyze complex and rich data, identify business problems, develop problem statements, define metrics, and drive feasibility studies
• Perform data exploration tasks, extract insights, and create storyboards from data analysis
• Present clear and accurate root-cause analysis to stakeholders and leadership
• Build education workflows for machine learning algorithms on tens of millions of data points and create algorithmic solutions, including data science, feature engineering, model development, validation, and model deployment
• Lead and develop large-scale implementations of machine learning models and algorithmic solutions using rich retail data sources
• Review model performance and select upgrades to improve models
• Collaborate with global AI team, scientists, engineers, and business partners to identify and lead new opportunities
• Utilize expertise in machine learning, probability theory, and statistics, optimization theory, deep learning, data pipeline engineering, distributed systems, database architecture, linear programming, and data mining skills, alongside SQL, R, Python, Spark, C, JavaScript, Scala, Hadoop, Hive, HTML, Matlab, Java, and Command Shell programming
• Advocate good software engineering practices and able to prototype character components of data science solution

Requirements

* At least a Master's degree in Mathematics, Statistics, or a closely related quantitative field, and at least seven (7) years of experience as a data or machine learning scientist (any title) including performing advanced machine learning activities (regression, clustering, and forecasting); driving the development and implementation of analytical and data science modeling answers through the use of techniques including data mining, machine learning or text mining; applying mathematical concepts, algorithms, and computational complexity; participating with colleagues to bring business value to the organization; providing findings and reports to stakeholders; and using Python, SQL, R, SAS, risk evaluation, and data manipulation

• Must include at least two (2) years working with a large amount of data and solving business problems; working on providing data and science answers including problem statement, feature engineering, model development, assessment, and testing, and deployment to a production environment; participating with engineering team to handle any issues in production pipeline; productionizing, auditing, and tracking data science models in the online environment; working with Hive or Hadoop, machine learning, text mining, and Spark
• In the alternative, the company will be given at least a doctorate (PhD) degree in Mathematics, Statistics, or a closely related quantitative field, and at least four (4) years of experience as data or machine learning scientist (any title) including performing advanced machine learning activities (regression, clustering, and forecasting); driving the development and implementation of analytical and data science modeling answers through the use of techniques including data mining, machine learning or text mining; applying mathematical concepts, algorithms, and computational complexity; participating with colleagues to bring business value to the organization; providing findings and reports to stakeholders; and using Python, SQL, R, SAS, risk evaluation, and data manipulation
• Must include at least two (2) years working with a large amount of data and solving business problems; working on providing data and science answers including problem statement, feature engineering, model development, assessment, and testing, and deployment to a production environment; participating with engineering team to handle any issues in production pipeline; productionizing, auditing, and tracking data science models in the online environment; working with Hive or Hadoop, machine learning, text mining, and Spark

What We Offer

* Competitive salary

• Opportunity to work with a leading provider of innovative solutions for the retail industry
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible work arrangements, including remote work options
• Comprehensive benefits package, including health, dental, and vision insurance, 401(k) matching, and paid time off

How to Apply

If you are a highly skilled data scientist with a passion for retail operations and forecasting, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples to [insert contact information]. We look forward to hearing from you!

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. We are committed to creating a diverse and inclusive work environment, and we welcome applications from qualified candidates of all backgrounds. Apply for this job