Data Scientist (Individual Consultant) At Girl Effect

We are seeking an inquisitive and innovative Data Scientist to play a pivotal role in enhancing our data ecosystem and employing advanced AI and ML techniques. The ideal candidate will delve into the complexities of user data to extract meaningful insights that drive our chatbots' ability to deliver impactful, behavior-changing conversations. This role is essential for bridging our data infrastructure with our Theory of Change, creating a foundation for our chatbots to understand and influence user behavior at a deeper level.Expected commitmentThe consultant is expected to be available 4-5 days (32-40 hours) weekly from June 2024 to December 2024.LocationThe consultant will be remote and must be conducive to working with teams in the UK, USA, Sub-Saharan Africa & India synchronously and asynchronously.ManagementThe consultant will report to the Senior Director of Technology and work closely with the Data Scientist and Fractional CTO. The language of the materials and reports shall be English. The contract supervisor shall approve all deliverables submitted by the agency before any payment is made.Tentative TimelinesTerms of reference published:May 3, 2024Deadline for responses:May 17, 2024Project commencement:June 2024Key ResponsibilitiesData Exploration and Analysis:Conduct comprehensive data exploration to understand the intricacies and patterns within user interaction data. Map this data to our users' journeys.Identify and analyze the distributions of independent variables, outliers, missing data points, and calculate standard deviations to ensure data quality and reliability.Use visual and quantitative methods to represent and understand the underlying data patterns.Descriptive and Inferential StatisticsWho You AreSkills, Knowledge and ExperienceA Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, demonstrating a strong foundation in quantitative analysis.Minimum 4 years of experience in data science, machine learning, or a related field, with a strong portfolio of projects demonstrating expertise in data exploration, supervised learning, and clustering.Proficiency in Python and relevant ML libraries and frameworks.Experience working with database infrastructures and understanding how such infrastructure fits into data modelingExperience with data visualization tools (e.g., PowerBI, Tableau).