Job Description

Senior Engineer – Data Scientist

Mumbai (Mindspace, Airoli / Powai)

Current Work Experience
5+ years

Skills (mandatory)
  • Minimum Qualification: BS / MS / PhD in a quantitative discipline (Bioinformatics, Computational Biology, Computer Science, Biostatistics, Mathematics, or another related field)
  • 5+ years of experience using quantitative approaches to solve challenging and meaningful analytical problems (or equivalent)
  • Possess programming experience in at least one development language (Java, Python, etc.)
  • Extensive experience with a statistics package such as R, SAS or SPSS
  • Strong expertise on working with 'real world' data (Including but not limited to QA, Scrubbing, Manipulation, etc.)
  • Solid grounding in applied mathematics and statistics including expertise in Bayesian modeling, multivariate regression, logistic regression, machine learning, cluster analysis, decision analysis, time series analysis and forecasting, factor analysis, structural equation modeling, item response theory, Markov chains, and data visualization
  • Extremely good communication skills with experience of communicating with international clients a desirable factor
  • Demonstrates the ability to work in a fast-paced, collaborative, and cross-functional environment
  • Demonstrates strong organizational, interpersonal, and problem solving skills
Skills (desired)
  • Experience writing queries in SQL
  • Demonstrate working knowledge of data mining, machine learning, statistical analysis, and mathematical modeling
  • Thorough knowledge of research methodology and statistical methods
  • Strong understanding of healthcare domain ( working knowledge of clinical and/or claims data) is a plus
  • Knowledge of programming and use of analytic tools to perform rapid design, prototyping, analysis, simulation of, and experimentation with, advanced algorithms and applications (such as R / Matlab / Mathematica, Java, Ruby, Python, and experience in various relational and non-relational databases) 
  • Understand and formulate the problem definition in collaboration with customers
  • Develop predictive models and other classification methods related to measuring the quality of patient care
  • Perform ad-hoc studies and develop analytic reports for customers in the CitiusTech network
  • Collaborate with CitiusTech software engineering teams to develop and implement new algorithms for processing and classifying clinical, financial, and operational data
  • Formulate validation strategies to ensure accurate and reliable data
  • Support the rest of the CitiusTech Analytics Team in understanding and processing the data in our system

For all recruitment related queries, email us at 
or call us at +1 (877) CITIUS1