Retail Data Scientist

Key Skills

3D models, Aartificial intelligence, Analytical and Problem solving, Big Data Technology, D3.js, Data Analytics, Data science techniques, Google Cloud Platform (GCP), Java Programming, Kotlin, Machine learning techniques, Mathematics, MATLAB Programming, NoSQL, NumPy, Python Programming, R Programming, SaaS, Scala Programming, Snowflake, SPARK Programming, SQL, Statistics, Tableau

Job Description

What We Do at Anno

By 2025, the world will generate over 460 exabytes of data per day! Cameras will record 50 billion hours of daily video, while an additional 30 billion IoT devices will collect data from other sensor types. The dawn of the Artificial Intelligence (AI) Era will unlock value from this data in use cases spanning massive markets including: supply chain, retail, marketing, national security, and law enforcement.

Founded in 2019, Anno.Ai builds AI-first applications designed to seamlessly enable powerful new end user capabilities. Driven to serve our customers mission and business needs, Anno.Ai’s applications are built to leverage machine learning (ML) and advanced analytics behind the scenes, delivering the valuable insights our customers need in a slick, easy to use interface. The result is AI that creates unbelievable and sustainable value for our customers: this is science fiction made real. 

Anno's team consists of researchers, former intelligence officers, military veterans, law enforcement, repeat startup founders, video game creators, hardware designers, and software engineers. Annomals are currently based in nine US states and three countries. The result is a hive of exciting innovation that has generated novel technologies and broken new ground in the field of AI. 

While the human brain devotes 40% of its resources to vision, AI hasn't even begun to tap the potential of video and imagery. We experienced rapid growth in 2021 with a $15M Series A, 40+ team members, and nearly 3X revenue growth, Anno is surging forward into 2022 with broad customer acquisition and additional key hires. Anno is looking for curious minded people who are passionate about developing themselves while making a true impact in the world. Our teams work together collaboratively to solve problems and our culture remains one of excitement, innovation, grit, and comradery. 

At Anno.Ai, diversity and inclusion have always been core values, and we are proud to have built a team that is united in purpose while drawing strength from our broad range of life experiences and backgrounds. As a leader in ethical AI/ML, we know that building a diverse team is a crucial aspect of developing fair and robust ML products. The Anno.Ai team is supportive and curious; we care deeply about supporting each other’s growth and we approach hard problems with a sense of humor and collaboration.

Position Overview

We are seeking an offline retail data scientist to join our team to help us make better business decisions based on our data. The ideal candidate needs to have a strong background and domain knowledge in offline retail data analysis and consumer behavior while also having a passion for data visualization and storytelling. Your primary responsibilities will be developing analytics insights from large quantities of data, performing statistical analyses, running custom SQL queries, identifying patterns and trends that can improve our products’ efficiency and usability, and prototyping state of the art data visualizations. 

Responsibilities

• Work with the product team and customers to identify the types of offline retail analytics that would best answer client questions
• Undertake preprocessing of structured and unstructured data
• Provide expert input to the machine learning team on what data is needed to produce the greatest value for the offline retail industry
• Analyze large amounts of information to discover trends and patterns
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development team
• Maintain and improve our data infrastructure and tools

Skills & Talents

• Extensive expertise in solving real-world business problems in the retail space
• Working knowledge of statistics, mathematic and data science programming languages like Python, R and SQL; familiarity with Scala, Java and Kotlin is appreciated
• Expertise in data mining, machine learning and operations research
• Knowledge of data science toolkits such as R, NumPy, and MatLab
• Familiarity with cloud-based infrastructure
• Familiarity with big data analytics technologies such as Spark and Snowflake
• Familiarity with data visualization tools such as D3.js and Tableau
• Ability to store and process unstructured data with NoSQL databases and machine learning models
• Strong business intelligence and understanding of SaaS business models
• Ability to communicate complex data in a way that’s easy to understand while also having the ability to visualize your findings
• Excellent analytical, problem-solving and writing skills 

Experience & Qualifications

• Bachelor's degree in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
• 3+ years minimum relevant retail industry experience required; 6+ years of retail industry experience preferred. Prior experience in a retail company in strategy-focused roles is appreciated.

Total Rewards Package for Our US Employees

• Competitive salary
• Comprehensive benefits package
• 401k with a 5% company match
• Equity
• Paid Holidays and Unlimited PTO
• 4 months paid parental leave
• Remote work environment
• Flexible work schedule
• Patent Bonus Program
• Employee Referral Bonus Program
• Learning and Development Program
• Opportunity to work with a team of creative, motivated, fun, and mission focused Annomals!

Total Rewards Package for Our Poland Employees

• Competitive salary
• Comprehensive benefits package via LuxMed
• PPK via Pekao
• Paid Holidays and PTO
• Remote work environment
• Flexible work schedule
• Employee Referral Bonus Program
• Learning and Development Program
• Opportunity to work with a team of creative, motivated, fun, and mission focused Annomals!