Senior Data Scientist

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.