The ideal candidate is passionate about learning, data, scale, and agility.
- You are a strong collaborator who can extract valuable insights from highly complex datasets, ask the right questions, and find the right answers.
- You thrive in fast-moving environments and excel at turning raw data into actionable intelligence that drives business Analyze raw data : Assess data quality, perform cleansing, and structure datasets for downstream processing.
- Design scalable predictive models : Develop accurate and scalable algorithms using machine learning, statistical modeling, clustering, and classification techniques.
- Collaborate with cross-functional teams : Work closely with engineering teams to transition analytical prototypes into production-grade solutions.
- Generate actionable insights : Translate data findings into meaningful recommendations that drive business improvements and strategic Bachelors degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, 3-5 years of experience in quantitative analytics, data modeling, or related roles.
Technical Strong knowledge of predictive modeling, machine-learning algorithms, clustering, and classification techniques.
Proficiency in at least one programming language such as Python, C, C++, Java, or SQL.Familiarity with Big Data technologies like Cassandra, Hadoop, and Spark.Experience with data visualization tools such as Tableau.Soft Strong analytical thinking and problem-solving skills.
Ability to work collaboratively in agile, cross-functional teams.Excellent communication skills with the ability to convert complex findings into clear insights(ref : iimjobs.com)