Senior Data Scientist

Position: Senior Data Scientist
Location: Bangalore, Karnataka (Hybrid)
Employment Type: Contract-to-Hire

Overview:

We're looking for a passionate and detail-oriented Senior Data Scientist with minimum of 4 years of experience to join our dynamic team. In this role, you’ll apply your expertise in data analytics, statistical modeling, and machine learning to extract insights, drive data-driven decisions, and solve complex business problems.

What You'll Do:

• Design and implement robust algorithms to address high-dimensional data challenges.
• Utilize advanced statistical methods and machine learning techniques for trend analysis, prediction, and decision-making support.
• Create meaningful data visualizations to present insights clearly to both technical and non-technical stakeholders.
• Work closely with cross-functional teams and clients to gather requirements and deliver impactful analytical solutions.
• Explore and integrate new data sources and technologies to enhance existing analytical capabilities.
• Continuously refine models, tools, and workflows to improve performance and scalability.

What We're Looking For:

• Minimum 4 years of experience in data analytics, modeling, or related fields.
• Strong educational foundation in a quantitative discipline.
• Proficiency in Python, R, or Java for data analysis and modeling.
• Experience with Hadoop ecosystem, AWS, or similar cloud and big data technologies.
• Knowledge of modern data science methodologies such as recommender systems, NLP, or social listening tools.
• Excellent written and verbal communication skills in English.

Nice to Have:

• Prior experience in cross-functional team environments.
• Strong analytical thinking and a proactive problem-solving approach.
• Adaptability to thrive in fast-paced and ever-evolving work settings.

Job Types: Full-time, Permanent, Contractual / Temporary

Schedule:

• Day shift
• Monday to Friday
• Morning shift

Ability to commute/relocate:

• Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Preferred)

Work Location: In person