Data Scientist

By Hiring Joint | Jobs Description | 0 Comments


Data Scientist

Location : Bangalore

Salary: 20 to 30 Lacs

Experience :  5 to 8 years

Qualifications: BE/B.Tech/ME/Mtech ( Full Time from Premier Instt.)

Gender: Male/Female

Working Days: 5


Job Description :

Position: ML & Data Scientist Job Description:

Working closely with the technology and learning teams, the Data Scientist will be responsible for the following:

  • Creating infrastructure for the delivery team; Maintain a working knowledge of data mining and visualization best practices; Work in coordination with the team for better and quick results;
  • Being able to develop or program databases; Having the ability to query databases and perform statistical analysis; Analyze the data available and provide the relevant output;
  • Collaborate with engineering colleagues to define the data modeling goals for designated project areas;
  • Having a good understanding of design and architecture principles; Understand the importance of the system development and help in getting it implemented;
    · Have good time management skills and should be able to meet the expected deliverables;
    · Being able to create examples, prototypes, demonstrations to help management better understand the work;
    · Capacity to motivate and train junior scientists and offer counsel to peers. Being able to work autonomously;

Basic Qualifications:

Passion, commitment, resourcefulness, and a drive to continue learning are essential prerequisites. For this role, we’re also looking for someone who meets the following criteria:

  • PhD/ Master’s Degree in Statistics, Mathematics, Computer Science, or equivalent; 5+ years of data science / mining experience;
  • Excellent knowledge of at least two coding languages, e.g. Python, Java, Scala, R Language, SQL, ETL Tools, Perl and Pig;
  • Should have worked on different tools like Java, SQL, Python, etc.; Good experience with SQL, Linux shell scripts, Perl, and AWK;
  • Domain knowledge in at least two industries; Minimum five years of experience in customer-facing activities;
  • Overall knowledge of Business Intelligence; in particular, data modeling, ETL, and reporting tools;
  • Extensive hands on experience working with very large data sets, including statistical analyses, data visualization, data mining, and data cleansing/transformation;
  • Under-the-hood knowledge of many of these machine learning concepts: supervised/unsupervised learning, loss functions, regularization, feature selection, regression/classification, cross-validation, bagging, kernel methods, sampling, probability distributions;
  • Experience prototyping and developing data mining solutions using statistical software packages (R, H2O);
  • Excellent verbal and written communication; Good analytical and interpersonal skills;
  • Strong ability to communicate deep analytical results in forms that resonate with scientific and/or business collaborators, highlighting actionable insights;
    · Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company.