Associate Lead Data Scientist
at Sigmoid
Bengaluru, Karnataka, India, onsite, lead, full time, 4–8 years
posted 10 Nov 2021
- Azure
- Scrapy
- Decision Tree
- Logistic Regression
- scikit-learn
- SVM
- NumPy
- SQL
- Random Forest
- PCA
- pandas
- R
- Neural Network
- NoSQL
- GCP
- Linear Regression
- BERT
- Scapy
- Spark
- AWS
- Python
- TensorFlow
- K-means Clustering
About the role
Posted: 2021-11-10
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
Offices: New York | Dallas | San Francisco | Lima | Bengaluru
The below role is for our Bengaluru office.
You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you.
Role: ALDS
Mandate Skills & Competencies
- Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud Technology (AWS, Azure, GCP)
- Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.
- Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.
- Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.)
- Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc.
- Contribute to internal product development initiatives related to data science.
- Develop data science roadmap, and guide data scientist to meet their deliverables.
- Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
- Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
- Drive excellent project management required to deliver complex projects, including effort/time estimation.
Read from job-boards.greenhouse.io, last seen 4d ago.