Data Scientist

ServCrust; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A technology startup in Hyderabad seeks a Data Science Engineer to lead data-driven decision-making and implement advanced machine learning models. This role involves analyzing complex datasets and delivering actionable insights through collaboration with cross-functional teams. Ideal candidates have a Ph.D. in a related field, 5+ years of experience in data science, and proficiency in Python. Strong communication skills are essential for interfacing with both technical and non-technical stakeholders.

Qualifications

• 5+ years of experience in data science.
• Experience in geospatial data science is an added advantage.
• Strong communication and presentation skills.

Responsibilities

• Collaborate with teams to understand and address business requirements.
• Analyze large datasets to identify patterns and trends.
• Design and implement algorithms for predictive and causal modeling.
• Evaluate and fine-tune model performance.
• Communicate recommendations based on insights.

Skills

Advanced machine learning

Statistical modeling

Data analysis

Geospatial data science

Python

Strong communication

Education

Ph.D. in computer science or statistics

Tools

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

GeoPandas

Shapely

Job description

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.

Key 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, and Seaborn); experience with GeoPandas and Shapely is an added advantage
• Strong communication and presentation skills

Seniority level

• Mid-Senior level

Employment type

• Full‑time

Job function

• Engineering and Information Technology
• Construction industry