Data Scientist

About arenaflex

arenaflex is a leading innovator in the retail industry, dedicated to providing cutting-edge solutions that transform the way businesses operate. With a strong focus on data-driven decision-making, we're committed to helping our clients stay ahead of the curve in an increasingly competitive market.

The Role

As a Data Scientist at arenaflex, you'll play a critical role in developing and implementing advanced data analytics and machine learning models to drive business growth and optimize retail operations. You'll work closely with our cross-functional teams to identify business challenges, design and implement data-driven solutions, and communicate insights to stakeholders.

Key Responsibilities

• Develop and implement advanced data analytics and machine learning models to drive business growth and optimize retail operations
• Collect, organize, analyze, interpret, and summarize large datasets to generate key insights and inform business decisions
• Collaborate with data engineers, scientists, and business stakeholders to design and implement data-driven solutions
• Present findings and recommendations to stakeholders, including business leaders and technical teams
• Develop and maintain data pipelines, including data ingestion, processing, and storage
• Work with Hive or Hadoop, machine learning, text mining, and Spark to develop and deploy data science models
• Participate in the development of data science workflows, including data exploration, feature engineering, model development, and deployment
• Collaborate with engineering teams to address any issues in the production pipeline
• Productionize, audit, and track data science models in the online environment

Requirements

• 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) with a strong background in advanced data analytics and machine learning
• Experience with data mining, machine learning, or text mining, and the ability to apply mathematical concepts, algorithms, and computational complexity
• Strong programming skills in Python, SQL, R, SAS, and data manipulation
• Experience with risk evaluation and data visualization tools
• Ability to work with large datasets and develop data-driven solutions to business challenges
• Strong communication and collaboration skills, with the ability to present findings and recommendations to stakeholders
• Experience with data science tools and technologies, including Hive or Hadoop, machine learning, text mining, and Spark

Preferred Qualifications

• Doctorate (PhD) degree in Mathematics, Statistics, or a closely related quantitative field, and at least four (4) years of experience as a data or machine learning scientist (any title) with a strong background in advanced data analytics and machine learning
• Experience with data science workflows, including data exploration, feature engineering, model development, and deployment
• Strong experience with data visualization tools and the ability to communicate complex data insights to non-technical stakeholders
• Experience with cloud-based data platforms and the ability to develop and deploy data science models in a cloud environment

What We Offer

• Competitive salary and benefits package
• Opportunity to work with a leading innovator in the retail industry
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible work arrangements, including remote work options
• Access to cutting-edge data science tools and technologies