The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Analyze raw data: assessing quality, cleansing, structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
Qualifications
- Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 1 - 2 years' of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
- CPLEX /Gurobi is Mandatory skill.
- Operations Research experience is needed.
- Strong python development skills
- Problem solving capability
Submission form:
Full name
Email
Phone
Work authorization
How soon can you join
Rate per hour expected : W2 ONLY
( NO c2c for this role.
Year of completion of Bachelors degree: ( Name,location)
Last 4 digits of ssn ;
Add: Two prof references
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Call me on 5103779165 for more questions; raj@zealtechus.com
