Data Scientist II

Seismic is the leading AI-powered enablement platform that equips customer-facing teams with intelligent automation, predictive insights, and personalized content—helping them engage clients effectively and drive business growth.

As the first Data Scientist to join our team in Hyderabad for the Corporate Data and Analytics department, you will play a pivotal role in shaping our data science practice. You'll be responsible for establishing processes and guidelines that will lay the foundation for future team members, setting standards for excellence and innovation within the group.

The ideal candidate should have experience with sales data (such as Salesforce), statistical modeling, and machine learning techniques using tools such as Python, R, or similar platforms. They will collaborate with cross-functional teams to translate business needs into actionable insights and present findings to stakeholders.

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Seismic is the global leader in AI-powered enablement, empowering go-to-market leaders to drive strategic growth and deliver exceptional customer experiences at scale. The Seismic Enablement Cloud is the only unified AI-powered platform that prepares customer-facing teams with the skills, content, tools, and insights needed to maximize every buyer interaction and strengthen client relationships. Trusted by more than 2,000 organizations worldwide, Seismic helps businesses achieve measurable outcomes and accelerate revenue growth. Seismic is headquartered in San Diego with offices across North America, Europe, Asia and Australia. Learn more at

Seismic is committed to building an inclusive workplace that ignites growth for our employees and creates a culture of belonging that allows all employees to be seen and valued for who they are. Learn more about DEI at Seismic here.

• Data Analysis: Analyze sales-related datasets to extract meaningful insights and patterns, such as identifying key drivers of revenue growth or forecasting sales trends to inform business strategy.
• Model Development: Design, develop, and implement machine learning models using Python and scikit-learn to build predictive models for applications such as customer segmentation and lead scoring, enhancing the efficiency of sales and marketing initiatives.
• Algorithm Implementation: Research and apply appropriate machine learning algorithms and tools, including TensorFlow and PyTorch, to address business challenges like churn prediction and opportunity scoring, driving informed decision-making.
• Develop Processes: Establish best practices and standardized processes for developing new models, leveraging version control systems and automation tools to optimize workflow and model deployment.
• Collaboration: Work closely with cross-functional teams to gather requirements and develop solutions, resulting in more accurate models that address real business needs and foster strong partnerships across departments.
• Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Experience: 3-5 years of experience in data science or a related field.
• Skills: Proficiency in Python or R, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and strong analytical skills.
• Knowledge: Familiarity with Snowflake and data visualization tools (e.g., Tableau, Power BI).

Preferred Qualifications

• Salesforce experience a plus.
• Strong understanding of statistical analysis and predictive modeling.

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Headquartered in San Diego and with employees across the globe, Seismic is the global leader in sales
enablement
, backed by firms such as Permira, Ameriprise Financial, EDBI, Lightspeed Venture Partners, and T. Rowe Price. Seismic also expanded its team and product portfolio with the strategic acquisitions of SAVO, Percolate, Grapevine6, and Lessonly. Our board of directors is composed of several industry luminaries including John Thompson, former Chairman of the Board for Microsoft.

Seismic is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.