ideal candidate is driven by learning, data, scale, and agility.
As a Senior Data Scientist, you will use your deep expertise and strong collaboration skills to extract valuable insights from complex datasets.
You will ask the right questions, find the right answers, and guide the team toward data-driven decision-making.
You will also play a critical role in shaping analytical strategy, mentoring team members, and scaling data science initiatives across the Analyze raw data : Assess data quality, perform cleansing, and structure datasets for efficient downstream processing.
- Develop scalable predictive models : Design and build highly accurate, scalable machine-learning algorithms for various business use cases.
- Collaborate with engineering teams : Partner with engineering to deploy models and convert analytical prototypes into robust production systems.
- Generate actionable insights : Translate data findings into clear recommendations that drive strategic business improvements and measurable outcomes.
Senior-Level Lead analytical initiatives : Own end-to-end data science projects, from scoping and design to implementation and performance optimization.
Mentor and guide junior data scientists : Provide technical direction, review model architectures, and support career development.Influence data strategy : Work with product, business, and engineering leadership to shape long-term data science, experimentation, and analytics roadmaps.Ensure model governance : Establish best practices in model validation, monitoring, and lifecycle management to maintain reliability at scale.Drive innovation : Identify opportunities to integrate advanced techniques, emerging tools, and automation to elevate data science Bachelors degree or equivalent experience in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, etc.Experience : 6-10 years of experience in quantitative analytics, data modeling, or data science roles.
Technical Deep understanding of predictive modeling, machine-learning techniques, clustering, classification, and algorithmic design.
Fluency in at least one programming language : Python, C, C++, Java, SQL.Hands-on experience with Big Data frameworks such as Cassandra, Hadoop, and Spark.Proficiency with data visualization tools (e.g., Tableau).Soft Skills :
Strong problem-solving and analytical skills with the ability to translate data into actionable recommendations.Excellent communication and storytelling skills for both technical and non-technical audiences.Demonstrated ability to collaborate across teams in fast-paced, agile environments.Leadership qualities with experience mentoring or guiding technical teams(ref : iimjobs.com)