As a Senior Data Scientist, you will be building the foundations of client's data products and capabilities. We are a growing, highly motivated team catering for a startup full of datadriven colleagues. You will need to think outside the box, have an innovative mindset and be biased towards driving value for client and it's customers.
Core Responsibilities:
Unravel ambiguous business problems and create opportunities to drive objective criteria using data.
Drive exploratory data analysis using advanced analytics to understand various aspects of the ecosystem, including customer behavior, operations, and inventory, identifying new levers to drive our success metrics.
Plan, design and analyze experiments for new product features before their release.
Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
Build, configure, deploy and maintain ETL and data pipelines in production environments.
Collaborate with cross-functional teams, including data analysts, data architects, engineers, and stakeholders, in an agile environment to drive relevant solutions and achieve shared goals.
Mentor, guide, and provide technical leadership to junior and mid-level data scientists, ensuring best practices are followed and fostering continuous learning and development within the team.
Summarize, document and communicate data transformation and analyzes to stakeholders.
What We're Looking For
Strong academic knowledge and hands on experience (5+ years) in data mining, applied statistics and machine learning.
Experience (5+ years) with mathematical and statistical data analysis techniques (such as regression, time series analysis, forecasting, statistical hypothesis testing and multivariate testing).
Advanced knowledge (5+ years) in writing SQL and R/Python to derive insights and apply statistical inference.
Good Experience (4+ years) with languages and tools for of data manipulation, analysis and plotting (R, R-shiny, R-markdown, Python, Pandas, Matplotlib, Bokeh, Jupyter).
Good experience (4+ years) designing, developing and deploying data applications and ML models at scale.
Good experience (4+ years) with data visualization tools and techniques (Tableau, Streamlit, PowerBI,).
Experience with code contribution and versioning tools like Github is a strong plus.
