Role And Responsibilities
You will be embedded within a team of data scientists, engineers, and analysts; responsible for conducting studies, setting up tools/framework for automation and large-scale data processing, and publishing regular internal/external KPI audits. You will
- Design, develop and evaluate statistical and predictive models to understand feature performance.
- Collaborate with cross-functional teams to identify data-driven solutions and insights for business challenges.
- Employ advanced statistical techniques to identify trends, patterns, and anomalies in the data.
- Develop various cloud/web components to ingest, process, transform, and visualize data at scale.
- Build tools/framework to improve data mining, labeling, training, and validation of in-house deep-learning/machine-learning features.
- Collaborate with cross-functional teams to identify data-driven solutions and insights for business challenges.
- Communicate and present findings in a clear and intuitive manner and build story-telling dashboards.
Requirements:
- Tech, M. Tech or PhD in computer science, electrical engineering, statistics or math.
- At least 7 years of working experience in data science or related domain.
- Strong knowledge of statistics, probability, and estimation theory.
- Strong programming skills in Python and strong fundamentals in Computer Science - particularly in OOP, algorithms, and data structures.
- Good understanding of internals and schema design for various data stores (RDBMS and NoSQL).
- Strong analytical and problem-solving skills with a keen attention to detail.
- Experience with data visualization and storytelling.
- Excellent communication and presentation skills, both written and verbal.
Desired Skills:
- Experience with data visualization tools like Tableau, Graphana, Plotly-Dash is a plus.
- Exposure to AWS services like Kinesis, EKS, ASG, etc is a plus.
- Expertise in at least one popular Python web-framework (like Django or Flask) is a plus.
