Data Scientist

RK Infotech LLC; Tampa (FL); On-site; USD 70,000 - 90,000; Full time

Job summary

RK Infotech LLC is seeking a data analytics professional to transform complex data into actionable insights. You will assess data quality, cleanse and structure datasets, and design predictive models aligned with business goals.

The role requires experience in quantitative analytics, data modeling, and ML techniques, with fluency in multiple programming languages and exposure to big data tools. Collaboration with engineering will drive production-ready prototypes.

Qualifications

• Bachelor's degree or equivalent experience in quantitative fields (Statistics, Mathematics, CS, Engineering, etc).
• 1–2 years' experience in quantitative analytics or data modeling.
• Deep understanding of predictive modeling and ML techniques.
• Fluency in at least one programming language (Python, C/C++, Java, SQL).

Responsibilities

• Analyze raw data: assess quality, cleanse, structure for downstream processing.
• Design accurate and scalable prediction algorithms.
• Collaborate with engineering to bring analytical prototypes to production.
• Generate actionable insights for business improvements.

Skills

Quantitative analytics

Data modeling

Predictive modeling

Programming fluency

Education

Bachelor's degree or equivalent in quantitative field

Tools

Cassandra

Hadoop

Spark

Tableau

Job description

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, C,C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)