Data Scientist

Job Description:

A data scientist is expected to:

  • Develop and deploy machine learning models and evaluate their performance
  • Generate descriptive analytics and visualize data in ways to provide insights
  • Investigate issues with either the quantitative output or the logical delivery (i.e., systems issues) for different models
  • Demonstrate skills working with teams to deliver data science driven solutions

Requisites

Education:

Bachelor or Masters in Engineering / Science / Mathematics / Economics / Physics or an equivalent degree from an institution of repute.

Experience (Years):

1 to 4 years of relevant experience in building data science solutions for solving business problems

Job Responsibilities
  • Relate to business problems and understand business data
  • Demonstrate strong skills in data preprocessing and data wrangling
  • Process, cleanse and verify the integrity of data used for analysis
  • Be capable to analyze high volume of data and derive insights, correlations
  • Enhance data collection procedures to include information that is relevant to building analytic systems
  • Implement statistical and machine learning models and evaluate the outcome
  • Visualize data and present insights to business
  • Work in iterative processes with the client or team and validate findings
  • Collaborate with engineering and product development teams
  • Perform ad-hoc analysis and present results in a coherent manner
  • Create automated anomaly detection systems and constant tracking of its performance
  • Follow agile practices and complete the tasks allocated as planned
  • Be adept in timely communication on work progress

Skills

Technical Skills
Must have
  • Good understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Experience with data visualization tools, such as D3.js, GGplot, etc.
  • Experience in practical data science solutions delivery
  • Experience in programming languages like C/C++/Java/Python.
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
Desirable to have
  • Familiarity with batch processing technologies like Spark, MapReduce and Pig
  • Familiarity with SQL technologies like Hive, Drill and Impala
  • Familiarity with OLAP NoSQL databases like HBase, Neo4J and MongoDB
  • Familiarity with enterprise big data distribution platforms like Cloudera, Hortonworks and MapR
Other Skills
  • Knowledge and experience in Scrum framework/ Agile methodology
  • Provable excellence in past record, problem solving and analytical skills, a penchant to excel, a strong urge to learn, interpersonal skills to work with and an inclusive attitude to respect diverse individuals and perspectives

Quadratyx is an equal opportunity employer - we will never differentiate candidates on the basis of religion, caste, gender, language, disabilities or ethnic group.

Quadratyx reserves the right to place/move any candidate to any company location, partner location or customer location globally, in the best interest of Quadratyx business.

Interested candidate profiles should be emailed tohr@quadratyx.com