G2 is looking for a Data Scientist II, this role encompasses leading model development and contributing to machine learning product development. Youll own end-to-end data science workflows, experiment with advanced algorithms, mentor junior team members, and drive innovation within the data science domain. You will work on Improving G2 s intent scoring, content moderation, and other AI-driven features through the use of machine learning. This is a hybrid position, with the team meeting in person two days a week at our Bengaluru office.
In this role, you will:-
Modeling and Statistical Analysis (50%):
- Independently lead the development of machine learning models, owning feature engineering, extraction, model selection, and optimization
- Design experiments by formulating statistical hypotheses, defining data requirements, pre-processing and cleaning the data, and performing the hypothesis testing.
- Operationalise models at scale applying AI and engineering best practices by working with the ML engineers.
- Experiment with various algorithms and techniques to advance model performance.
- Define feedback and evaluation methods for the business problems.
- Demonstrate excellent coding and debugging skills.
Business, Data Understanding, and Impact (30%):
- Make impactful contributions by leveraging AI and Machine Learning expertise to address pressing business challenges.
- Collaborate with cross functional teams to understand the business requirements and data architecture.
- Translate business requirements into technical solutions by working with the business and senior data scientists.
- Identify and document the data requirements and manage data collection and preparation for projects.
- Design and document training and testing strategy.
- Document methodologies, findings, and outcomes of model experiments and present it to the team and key stakeholders.
Mentorship and Guidance (20%):
- Mentor junior team members, providing technical support, guidance on model development, and best practices implementation.
- Coach junior team members, helping them understand complex datasets, models, and business requirements by giving clear and actionable feedback.
- Encourage the development of best practices and innovative approaches in data analysis and modeling.
Requirements:-
- 4-6 years experience as a data scientist involved in data extraction, analysis and modeling.
- 4+ years of experience in Python and SQL or related tools for machine learning.
- Strong understanding of statistics and linear algebra.
- Proficiency in machine learning algorithms and all stages of machine learning.
- Familiarity with neural networks and deep learning.
- Familiarity with AWS services and Snowflake.
- Proficiency in handling structured and unstructured data.
- Successful end-to-end delivery of data science products.
- Exposure to MLOps tools like MLFlow, KubeFlow, DVC,AWS Sagemaker, Seldon etc
- Experience deploying models in a AWS cloud environment - with specific experience with AWS tools such as Sagemaker and Step Functions.
- Expertise with Natural Language Processing and Understanding.
- Experience with libraries and frameworks for training ML and DL models (PySpark, Tensorflow).
- Experience and expertise in ML Operations best practices.
