Data Scientist

Data Scientist

Experience : 5+

Skill:- Data Scientist

Location : India

Notice Period :- Immediate.

Employment Type: Contract.

Job Description:

• Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Were looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Masters in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
  • Coding knowledge and experience with several languages: C, C++, Java,
  • JavaScript, etc.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience using web services: Redshift, S3, Spark, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Google Analytics, Crimson Hexagon, Facebook Insights, etc.
  • Experience visualizing/presenting data for stakeholders using different tools.
  • Working knowledge of message queuing (Kafka or Google Pub/Sub), stream processing, and highly scalable data stores.