Data Scientist II

Job Description

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

We are seeking a talented Data Scientist to join our team in Hyderabad. The ideal candidate will work closely with the Director of AI Transformation to analyze data and develop AI models that transform internal business processes. This role will be pivotal in driving AI innovation and driving data-driven decision-making within the organization.

At Seismic, were committed to providing benefits and perks for the whole self. To explore our benefits available in each country, please visit the Global Benefits page.

Please be aware we have noticed an increase in hiring scams potentially targeting Seismic candidates. Read our full statement on our Careers page.

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.com.

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 large datasets to extract meaningful insights and patterns.
- Model Development: Design, develop, and implement machine learning models.
- Algorithm Implementation: Research and apply appropriate machine learning algorithms and tools.
- Model Training: Train models and optimize their performance.
- Data Preprocessing: Perform data cleaning, feature engineering, and data augmentation.
- Collaboration: Work closely with the Director of AI Transformation and cross-functional teams to integrate models into applications.
- Documentation: Maintain comprehensive documentation of models and processes.
- Education: Bachelors or Masters 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 cloud platforms (e.g., AWS, Azure, Google Cloud) and data visualization tools (e.g., Tableau, Power BI).

Preferred Qualifications

- Experience with natural language processing (NLP) and generative AI.
- Strong understanding of statistical analysis and predictive modeling.

If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please click here.

Headquartered in San Diego and with employees across the globe, Seismic is the global leader in salesenablement, 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.

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