Senior Data Scientist

ROLE :

Learn more about the general tasks related to this opportunity below, as well as required skills.

We’re a fast-growing VMS brand in the ecommerce space and we're looking for a top-notch Senior Data Scientist to join our team.

As a key member of our Finance team, you'll play a crucial role in understanding our data and driving growth. You'll have the opportunity to work on several high growth initiatives and collaborate with a talented team to help bring our vision to life.

As Senior Data Scientist you are responsible for collecting, analyzing, and interpreting complex global data sets for our company to provide data-driven solutions for business decisions.

Your duties include developing custom data models, visualizations, and algorithms to interpret data, assessing the accuracy of new data and data-gathering strategies, and implementing and developing tools to monitor and analyze data accuracy and performance.

You will work closely with cross-functional teams to extract insights and provide recommendations based on data-driven analysis.

This person should have extensive experience :

• Mining and analyzing data from company databases to improve marketing, product development, or overall business strategies
• Using predictive modeling to optimize revenue growth, marketing campaigns, and customer experiences
• Developing A / B testing campaign frameworks and testing model quality
• Communicating and coordinating with teams to implement data-driven strategies while measuring progress
• Designing data lake & warehouse, understanding Shopify and Amazon Data flow.

ESSENTIAL FUNCTIONS :

• Responsible for collecting, analyzing, and interpreting (global) data sets
• Monitoring data quality and removing corrupt data, organizing and transforming information into comprehensible structures
• Assessing the accuracy of new data and data-gathering strategies, and implementing and developing tools to monitor and analyze data accuracy and performance
• Accountable for all things data and ensuring the integrity of data backup and storage systems
• Designs, develops, and administers data management solutions using database management software
• Design and stand-up data lake and data warehouse
• Developing custom data models, visualizations, and algorithms to interpret data
• Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs
• Performing statistical analysis of global data / datasets
• Preparing data driven reports and presenting these to management / stakeholders
• Communicating with stakeholders to understand data content and business requirements
• Understanding Shopify and AMZ dataflow / data sourcing
• Support IT strategy ->

AI / Machine learning

SKILLS :

• Excellent verbal and written communication skills
• Natural instinct for problem-solving and a desire to learn new techniques and technologies
• Ability to create data architectures
• Proficient in latest technology for IT systems and management
• Excellent knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets
• Excellent and proven analytical skills
• Excellent organizational skills and attention to detail
• Excellent interpersonal skills
• Thorough understanding of IT and practical applications to support the Company’s goals
• Experience working in a fast-paced, deadline-driven environment
• Flexibility to work as a member of the team and as an individual contributor

QUALIFICATIONS AND EDUCATION REQUIREMENTS :

• PhD or master’s degree in mathematics, computer science, statistics, or other quantitative fields
• Has certifications or continuing education in different tools and technologies such as programming languages, data analysis tools, machine learning, artificial intelligence, or other related technologies
• Experience with different programming languages such as C, C++, and Java, along with experience in statistical techniques such as Random Forest, Boosting, social network analysis, text mining, and generalized linear models
• Experience includes statistical computer languages such as R, SQL, and Python, web services like Spark and Redshift, and machine learning algorithms like regression, simulation, modelling, decision trees, and neural network
• A minimum of five to seven years of experience building statistical models to communicate to teams and stakeholders
• 5+ years of experience in complex data analysis including but not limited to data-driven pricing strategies, performance marketing, demand generation, among other
• Strong analytical and problem-solving skills, with the ability to think critically and draw conclusions from complex data sets
• Experience with data visualization tools such as Tableau or Power BI
• Excellent communication skills, with the ability to present complex data in a clear and concise manner
• Ability to work independently and in a team environment.

PHYSICAL REQUIREMENTS :

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift up to 15 pounds if needed.

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