Experienced Full Stack Data Scientist – Retail Operations and Forecasting

At arenaflex, we're on a mission to revolutionize the retail industry by harnessing the power of data science and machine learning. We're seeking an experienced full stack data scientist to join our team and help us drive business growth through data-driven insights.

Position at a Glance:

* Start Date: Immediate openings available

• Company: arenaflex
• Location: Remote
• Compensation: A competitive salary
• Position: Part Time Data Entry Target

About arenaflex:

arenaflex is a leading provider of innovative retail solutions, dedicated to helping businesses thrive in today's fast-paced market. With a strong focus on data-driven decision-making, we're committed to delivering cutting-edge solutions that drive growth, efficiency, and customer satisfaction.

Job Summary:

As a full stack data scientist at arenaflex, you'll play a critical role in developing and implementing advanced data science and machine learning models to drive business growth and improve operational efficiency. You'll work closely with our global AI team, scientists, engineers, and business partners to identify and lead new opportunities, and collaborate with stakeholders to present findings and recommendations.

Key Responsibilities:

* Develop and implement advanced data science and machine learning models to drive business growth and improve operational efficiency

• Collect, organize, analyze, interpret, and summarize large datasets to generate key insights and inform business decisions
• Analyze complex and rich data, identify business problems, develop problem statements, define metrics, and conduct 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 deployment
• Lead and implement large-scale implementations of machine learning models and algorithmic solutions using rich retail data sources
• Review model performance and identify 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 best software engineering practices and capable of prototyping 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)

• Experience driving the development and implementation of analytical and data science modeling answers using strategies including data mining, machine learning or text mining
• Experience applying mathematical concepts, algorithms, and computational complexity
• Experience participating with colleagues to bring business value to the organization
• Experience presenting findings and reports to stakeholders
• Experience 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
• Experience working on presenting data and science answers including problem statement, feature engineering, model development, assessment and testing, and deployment to a production environment
• Experience participating with engineering team to address any issues in production pipeline
• Experience productionizing, auditing, and tracking data science models in the online environment
• Experience working with Hive or Hadoop, machine learning, text mining, and Spark

Alternatively, 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)

• Experience driving the development and implementation of analytical and data science modeling answers using strategies including data mining, machine learning or text mining
• Experience applying mathematical concepts, algorithms, and computational complexity
• Experience participating with colleagues to bring business value to the organization
• Experience presenting findings and reports to stakeholders
• Experience 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
• Experience working on presenting data and science answers including problem statement, feature engineering, model development, assessment and testing, and deployment to a production environment
• Experience participating with engineering team to address any issues in production pipeline
• Experience productionizing, auditing, and tracking data science models in the online environment
• Experience working with Hive or Hadoop, machine learning, text mining, and Spark

Skills and Competencies:

* Strong 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

• Proficiency in programming languages including SQL, R, Python, Spark, C, JavaScript, Scala, Hadoop, Hive, HTML, Matlab, Java, and Command Shell
• Experience with data visualization tools and techniques
• Strong analytical and problem-solving skills
• Excellent communication and presentation skills
• Ability to work collaboratively in a team environment
• Strong attention to detail and ability to meet deadlines

Career Growth Opportunities and Learning Benefits:

* arenaflex offers a dynamic and supportive work environment that encourages professional growth and development

• Opportunities for career advancement and professional development through training and mentorship programs
• Collaborative and innovative work environment that fosters creativity and innovation
• Access to cutting-edge technology and tools to stay ahead of the curve in data science and machine learning

Work Environment and Company Culture:

* arenaflex is a remote-friendly company that offers flexible work arrangements to support work-life balance

• Collaborative and inclusive work environment that values diversity and promotes a culture of respect and empathy
• Opportunities for professional growth and development through training and mentorship programs
• Access to cutting-edge technology and tools to stay ahead of the curve in data science and machine learning

Compensation, Perks, and Benefits:

* Competitive salary and benefits package

• Opportunities for professional growth and development through training and mentorship programs
• Access to cutting-edge technology and tools to stay ahead of the curve in data science and machine learning
• Flexible work arrangements to support work-life balance
• Collaborative and inclusive work environment that values diversity and promotes a culture of respect and empathy

How to Apply:

If you're a motivated and experienced data scientist looking for a new challenge, please submit your application today. arenaflex is an equal opportunities employer and welcomes applications from diverse candidates. Apply for this job