Senior Associate Data Science

@Capillary Technologies India Limited
  • Bengaluru, Karnataka, India View on Map
  • Post Date : June 19, 2025
  • Salary: Rs450,000.00 - Rs4,500,000.00 / Yearly
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Job Description

Location: Bengaluru 
Experience Required: 3+ Years
Industry: Data Science & Analytics
Employment Type: Full-time

Job Summary:

We are looking for a seasoned Senior Data Scientist with a strong analytical mindset, robust programming skills, and excellent client-facing communication abilities. This role is ideal for someone who can lead data-driven projects, mentor teams, and transform complex datasets into actionable insights.

Key Responsibilities:
  • Lead end-to-end development of data science solutions for business challenges
  • Collaborate with stakeholders to translate business problems into analytical tasks
  • Build and implement statistical models, machine learning algorithms, and predictive analytics
  • Clean, prepare, and analyze large and complex data sets
  • Deliver compelling visualizations and clearly communicate insights using tools like Tableau, Power BI, or QlikView
  • Present findings and strategic recommendations to clients and leadership
  • Mentor junior data scientists and foster a collaborative data science culture
  • Stay updated on emerging data science trends, tools, and technologies
Required Qualifications:
  • Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or related field
  • 3+ years of experience in data science or analytics
  • Proficient in Python, SQL, and R (preferred)
  • Strong grasp of statistical analysis, machine learning, and data wrangling techniques
  • Hands-on experience with relational databases and cloud data platforms
  • Proficiency in data visualization and BI tools (Tableau, Power BI, or QlikView)
  • Strong client-facing communication and presentation skills
  • Ability to lead and manage cross-functional projects
Preferred Attributes:
  • Advanced project management capabilities
  • Strategic thinking with strong business acumen
  • Experience in mentoring or leading data teams
  • Passion for continuous learning and innovation in data science

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