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Data Scientist at loyalytics consulting

Experience required: 2-4 years

We are looking for a passionate Data Scientist to turn data into meaningful information that can help our clients make data informed decisions

Typical responsibilities include end to end execution of advanced data science projects primarily involving applying data mining techniques, doing statistical analysis, and building high quality prediction systems. Youll have access to large B2B and B2C data sets on a robust analytic platform. Customer and account data is enriched with demographics and firmographics, transactional purchase history, Web behavior and cross-channel marketing campaign history. Tools and analytic environment include SAS, Tableau, R/Python and well-managed MPP RDBMS, Hadoop & Hive.

Loyalytics is a startup and our work environment is very conducive to trying and testing out a variety of new things. A high degree of passion, commitment to our customers priorities and willingness to learn new things on the go are some of the qualities that will help individuals succeed at Loyalytics.

Job Description:

  • 2-4 years real world experience working as a data scientist
  • Hands on experience in statistical modelling software such as R, Python or SAS (optional) along with data visualization tools like Tableau/Power BI
  • Good understanding of statistical and predictive modeling concepts.
  • Strong expertise in either R or Python
  • Excellent analytical thinking, and problem-solving skills.
  • Hands on experience in working on data mining and statistical machine learning problems
  • In depth understanding of advance ML techniques and algorithms like regression, clustering, decision trees, Neural Networks, Gradient descent, SVM etc
  • Experience in project management and handling client communications
  • Excellent communication (written/verbal) skills, including logically structuring and delivering presentations.
  • Open to learning new methods/techniques in the ever-changing world of analytics. High aptitude to learn quickly, assimilate to new teams and projects, and work well under pressure with appropriate attention to detail.

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