Sr Data Scientist

ServCrust Private Limited; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ServCrust Private Limited, a technology startup based in Hyderabad, is seeking a Sr Data Scientist to lead data-driven decision-making. The ideal candidate will design and implement advanced machine learning models, analyze complex datasets, and deliver insights to stakeholders. Applicants should possess a Ph.D. in a relevant field and have over 5 years of experience in data science. Proficiency in Python and experience with geospatial data science are highly desirable.

Qualifications

• Ph.D. in computer science, statistics, or a related field is mandatory.
• 5+ years of experience in data science is required.
• Experience in geospatial data science is an additional advantage.
• Proficiency in Python, including libraries like Pandas and Numpy, is necessary.

Responsibilities

• Collaborate with teams to meet business requirements using machine learning.
• Analyze large datasets to provide insights for decision-making.
• Design and implement algorithms for predictive modeling.
• Evaluate and improve model performance.
• Communicate recommendations effectively.

Skills

Python (Pandas, Numpy, Sci-Kit Learn, PyTorch, StatsModels, Matplotlib, Seaborn)

Geospatial Data Science

Strong communication skills

Statistical modeling

Machine learning

Education

Ph.D. in computer science, statistics, or related field

Tools

GeoPandas

Shapely

Job description

Sr Data Scientist

Job Summary

ServCrust is a rapidly growing technology startup with the vision to revolutionize India's infrastructure by integrating digitization and technology throughout the lifecycle of infrastructure projects.

About the Role

As a Data Science Engineer, you will lead data-driven decision-making across the organization. Your responsibilities will include designing and implementing advanced machine learning models, analyzing complex datasets, and delivering actionable insights to various stakeholders. You will work closely with cross-functional teams to tackle challenging business problems and drive innovation using advanced analytics techniques.

Responsibilities

• Collaborate with strategy, data engineering, and marketing teams to understand and address business requirements through advanced machine learning and statistical models.
• Analyze large spatiotemporal datasets to identify patterns and trends, providing insights for business decision-making.
• Design and implement algorithms for predictive and causal modeling.
• Evaluate and fine-tune model performance.
• Communicate recommendations based on insights to both technical and non-technical stakeholders.

Requirements

• A Ph.D. in computer science, statistics, or a related field
• 5+ years of experience in data science
• Experience in geospatial data science is an added advantage
• Proficiency in Python (Pandas, Numpy, Sci-Kit Learn, PyTorch, StatsModels, Matplotlib, Seaborn); experience with GeoPandas and Shapely is an added advantage
• Strong communication and presentation skills