Staff Data Scientist

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:

1. Design, develop and evaluate statistical and predictive models to understand feature performance.
2. Collaborate with cross-functional teams to identify data-driven solutions and insights for business challenges.
3. Employ advanced statistical techniques to identify trends, patterns, and anomalies in the data.
4. Develop various cloud/web components to ingest, process, transform, and visualize data at scale.
5. Build tools/framework to improve data mining, labeling, training, and validation of in-house deep-learning/machine-learning features.
6. Communicate and present findings in a clear and intuitive manner and build story-telling dashboards.

Requirements:

1. Tech, M. Tech or PhD in computer science, electrical engineering, statistics or math.
2. At least 5 years of working experience in data science or related domain.
3. Strong knowledge of statistics, probability, and estimation theory.
4. Strong programming skills in Python and strong fundamentals in Computer Science - particularly in OOP, algorithms, and data structures.
5. Good understanding of internals and schema design for various data stores (RDBMS and NoSQL).
6. Strong analytical and problem-solving skills with a keen attention to detail.
7. Experience with data visualization and storytelling.
8. Excellent communication and presentation skills, both written and verbal.

Desired Skills:

1. Experience with data visualization tools like Tableau, Graphana, Plotly-Dash is a plus.
2. Exposure to AWS services like Kinesis, EKS, ASG, etc is a plus.
3. Expertise in at least one popular Python web-framework (like Django or Flask) is a plus.