Data Scientist - I
About G2 - The Company
When you join G2, you’re joining the team that helps businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users.
G2 is the world's largest and most trusted software marketplace. More than 100 million people annually — including employees at all Fortune 500 companies — use G2 to make smarter software decisions based on authentic peer reviews. Thousands of software and services companies of all sizes partner with G2 to build their reputation and grow their business — including Salesforce, HubSpot, Zoom, and Adobe. To learn more about where you go for software, visit www.g2.com and follow us on LinkedIn.
As we continue on our growth journey, we are striving to be the most trusted data source in the age of AI for informing software buying decisions and go-to-market strategies. Does that sound exciting to you? Come join us as we try to reach our next PEAK!
About G2 - Our People
At G2, we have big goals, but we stay grounded in our PEAK (Performance + Entrepreneurship + Authenticity + Kindness) values. You’ll be part of a value-driven, growing global community that climbs PEAKs together. We cheer for each other’s successes, learn from our mistakes, and support and lean on one another during challenging times. With ambition and entrepreneurial spirit we push each other to take on challenging work, which will help us all to grow and learn.
You will be part of a global, diverse team of smart, dedicated, and kind individuals - each with unique talents, aspirations, and life experiences. At the heart of our community and culture are our people-led ERGs, which celebrate and highlight the diverse identities of our global team. As an organization, we are intentional about our DEI and philanthropic work (like our G2 Gives program) because it encourages us all to be better 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.
Apply machine learning algorithms to achieve objectives and communicate findings and risks.
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. Learn more about our commitments here.
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