Lead Data Science Innovator

2 weeks ago

Hyderabad, India Horizontal Talent Full time

Senior Data Scientist


Experience: 8-14 Years


Notice Period: 15 Days Less


Location: Hyderabad


Responsibilities may include the following and other duties may be assigned.

- Develop, examine, extract, and transform data pipelines to increase efficiency, inform decision-making, and gain a competitive edge.

- Conduct descriptive analysis on data to detect data quality problems. Perform advanced statistical analysis on experimental or business data to confirm and quantify trends or patterns identified by the business.

- Create predictive/prescriptive models, algorithms, and probability engines to support data analysis or product functions.

- Support tactical decision-making by using predictive and prescriptive modeling and extracting actionable insights by identifying patterns in structured and unstructured data like images.

- Evaluate the model and algorithm effectiveness based on real-world outcomes. Design experiments and methodologies to generate and collect data for business use.

- Build, deploy, automate, and maintain advanced analytics data pipelines. Complete ad hoc analytic stakeholder requests and projects by assessing data requirements, designing analytical studies, and delivering results and recommendations.

- Design and deploy data pipeline prototypes into multiple data and analytics platforms.

- Optimize AI models for performance, scalability, and efficiency, using cloud-based resources and distributed computing frameworks.

- Build OCR models, Vision Inspection, Anomaly detection, time series forecast, NLP, Classification.

- Apply prompt engineering techniques to enhance the performance and accuracy of AI models.

- Leverage GEN AI skills to create and fine-tune AI models for various applications.

- Apply business area expertise to define and frame complex, multi-faceted projects and develop goals, direction, and work plans.

- Analyze performance data trends to identify opportunities for advanced analytics, quality improvements, and/or cost savings.

- Serve as a subject matter expert on the functionality and content of business products and tools.

- Lead, guide, train, and execute advanced analytics projects that improve business decisions.



Qualifications:

- Bachelor's Degree in Engineering, MCA, or MSc and 8+ years’ relevant experience in Data Science.

- Proficiency in programming languages including Python, R, SQL, and NoSQL.

- Experience in visualizing advanced analytics models to business insights using tools such as Power BI and Tableau.

- Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.

- Experience in designing and deploying distributed data processing frameworks including NoSQL databases and high-performance computing clusters.

- Experience in GENAI especially prompt engineering is a plus

- A self-starter motivated to correctly interpret business needs, possessing strong problem-solving skills, as well as the technical expertise needed to perform hands-on data analysis, research, and programming work.

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