Data Scientist

Position: Data Scientist/Engineer

Location: Bengaluru, for projects across India

About Varahe Analytics:

Varahe Analytics is one of India’s premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. We help our clients with strategic advice and implementation, combining data-backed insights and in-depth ground intelligence into a holistic electoral campaign.

We are passionate about our democracy and the politics that shape our world. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal of building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country.

Responsibilities:

Backend Development:

● Train the NLP for sentiment analysis of Social Media/ Media comments, description.

● Development and training of ML models for prediction analysis.

● Design, develop, and maintain scalable backend systems for data processing and analysis.

● Optimize backend performance to ensure efficient data handling and processing.

Pipeline Management:

● Develop, implement, and manage data pipelines to support data ingestion, processing, and storage.

● Ensure data integrity, consistency, and availability across different stages of the pipeline.

● Automate data workflows and processes to enhance operational efficiency.

Key Skills Required:

Proficiency in Python (mandatory):

● Strong experience in writing and optimizing Python code for data analysis, machine learning, and

backend development.

● Familiarity with Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.

● Proficiency in Python (mandatory), SQL, and experience with machine learning techniques including LLM, NLP, and other related methods.

SQL:

● Advanced knowledge of SQL for data extraction, manipulation, and querying from relational

databases.

● Experience in writing complex SQL queries and optimizing them for performance.

Machine Learning Techniques:

● In-depth understanding and hands-on experience with machine learning algorithms and models.

● Familiarity with Long Short-Term Memory (LLM) networks, Natural Language Processing

(NLP), and other related methods.

● Ability to implement, evaluate, and fine-tune machine learning models for various applications.

Experience Required:

● Minimum of 3-4 years experience required in the field of Data Science and Machine Learning:

● Proven track record of working on data science and machine learning projects, with a focus on

backend development and pipeline management.

● Experience in handling large datasets, data preprocessing, and feature engineering.

● Demonstrated ability to deploy and maintain machine learning models in production

environments.

Additional Requirements:

● Strong problem-solving skills and the ability to work independently or as part of a team.

● Excellent communication skills to convey technical concepts to non-technical stakeholders.

● Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) and experience with deploying

machine learning models on cloud infrastructure is a plus.

● Familiarity with version control systems (e.g., Git) and agile development methodologies.

If you're a fresh professional looking for a high-impact challenge, interested in joining a team of like-minded and motivated individuals who think strategically, act decisively, and get things done, drop in an email at openings@varaheanalytics.com