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 of a Senior Data Scientist 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 by 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 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
Has experience working 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
Other 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
Experience working in a fast-paced, deadline-driven environment
Ability to work independently and in a team environment.
PHYSICAL REQUIREMENTS:
Prolonged periods of sitting at a desk and working on a computer