Infocepts - Senior Data Scientist - Predictive Modeling

Description :

Responsibilities :

Core Responsibilities :

- 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 Responsibilities :

- 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 capabilities.

Qualifications :

Education :

- Bachelors degree or equivalent experience in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, etc.

Experience :

- 6 to 10 years of experience in quantitative analytics, data modeling, or data science roles.

Technical Expertise :

- 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., 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