Data Scientist

**About G2 - Our People**

G2 was founded to create a place where people will love to work. We strive to create meaning in work and provide more than just a job: a true calling. At the heart of our community and culture are our people. Our global G2 team comes from a wide range of backgrounds and experiences, and that’s what makes our G2 community strong and vibrant. We want everyone to bring their authentic selves to work, and we do this through our company and team events, our G2 Gives charitable initiatives, and our Employee Resource Groups (ERGs).

Our employee-led, leadership-supported ERGs celebrate the diversity of our team, foster inclusivity and belonging, and create a space to connect to each other. Through connections and understanding, we build a stronger and more dynamic global team and help every person reach their personal peak.

We support our employees' well-being by providing extensive benefits, including flexible work, aligned time off, and various leave options such as maternity, paternity, and sabbatical leaves.

**About G2 - The Company**

When you join G2, you join the global team behind the largest and most trusted software marketplace. Every month, 5.5 million people come to G2 to inform smarter software decisions based on honest peer reviews. Authenticity is our focus, and every day we help thousands of companies, and hundreds of employees, propel their potential. Ready for meaningful work that starts and ends with compassion and heart? You’ve come to the right place.

G2 is going through exciting growth We’ve recently secured our Series D funding of $157 million, which will further allow us to grow and develop our product and people.

**About the Role**

G2 is looking for a Data Scientist - I, You'll be responsible for contributing to the development and maintenance of machine learning models and collaborating on data-driven projects. This role involves leveraging machine learning techniques to derive insights and solve business problems. 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**:

- Develop machine learning models, contribute to feature engineering, and model validation processes.
- Collaborate with senior team members in selecting and optimizing models for various data-driven projects.
- Experiment with different algorithms and techniques to enhance model performance.
- Contribute to the development of machine learning pipelines and participate in the implementation and validation of models.
- Demonstrate excellent coding and debugging skills.

**Business, Data Understanding, and Impact**:

- Collaborate with the cross-functional teams on data-centric projects, assisting in data analysis and model implementation.
- Execute project tasks aligned with project timelines and objectives under the guidance of senior team members.
- Actively take part in data collection and preparation for various machine learning projects and tasks.
- Document the methodologies, findings, and outcomes of model experiments and present the results and findings to the team.
- Communicate technical findings effectively to team members and assist in presenting insights to stakeholders.
- Learn and adopt best practices in data analysis, model development, and validation to contribute to robust solutions.

**Mentorship and**_Collaboration_**:

- Engage in continuous learning, staying updated on emerging trends and techniques in data science.
- Collaborate with peers, actively participating in knowledge sharing sessions and contributing to a collaborative team environment.
- Seek guidance and mentorship from senior team members to enhance technical and analytical skills.

**Qualifications**:

- 2+ years of experience as a data scientist involved in data extraction, analysis, and modeling.
- 2+ years of experience in Python and SQL or related tools for machine learning.
- Understanding of statistics and linear algebra.
- Through knowledge of machine learning algorithms and all stages of machine learning.
- Familiarity with neural networks and deep learning.
- Basic knowledge about AWS services and cloud databases.
- Proficiency in handling structured and unstructured data.

**Our Commitment to Inclusivity and Diversity**

At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status.