Data Scientist

Designation – Deputy Manager - TS

Job Description

1. Total of  8/9 years of development experience Data Engineering . B1/BII role
2. Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
3. Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
4. Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
5. Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
6. Strong Python skill .
7. Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
8. Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
9. Life Science & Healthcare domain background will be a plus

Qualifications

BE/Btect/ME/MTech

Job Description – Data Science  

Basic Qualification:

• ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
• Strong Analytical skills and application of Statistical techniques to problem solving
• Expertise in algorithms, data structures and performance optimization techniques
• Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
•   Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.

Responsibilities

The Data Engineer/Analyst will

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  
• Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
  
• Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
  
• Coordinate with different R&D and Business teams to implement models and monitor outcomes.
  
• Mentor team members towards developing quick solutions for business impact.
  
• Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.
  

• 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
  
• Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
  
• Knowledge on Microsoft Azure will be desired.
  
• Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
  
• Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
  
• Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
  
• Experience in infra development / building platforms is highly desired.
  
• A drive to learn and master new technologies and techniques.
  

Responsibilities

• Design and implement Azure BI infrastructure, ensure overall quality of delivered solution 
• Develop analytical & reporting tools, promote and drive adoption of developed BI solutions 
• Actively participate in BI community 
• Establish and enforce technical standards and documentation 
• Participate in daily scrums  
• Record progress daily in assigned Devops items 

Ideal Candidates should have

• 5 + years of experience in a similar senior business intelligence development position 
• To be successful in the role you will require a high level of expertise across all facets of the Microsoft BI stack and prior experience in designing and developing well-performing data warehouse solutions 
• Demonstrated experience using development tools such as Azure SQL database, Azure Data Factory, Azure Data Lake, Azure Synapse, and Azure DevOps. 
• Experience with development methodologies including Agile, DevOps, and CICD patterns 
• Strong oral and written communication skills in English 
• Ability and willingness to learn quickly and continuously 
• Bachelor's Degree in computer science 

Job description:

• Selecting features, building and optimizing classifiers using machine learning techniques
• Mining data as and when required
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Efficient stakeholder management

Skills and Qualifications

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience with common data science toolkits. 
• Great communication skills
• Experience with data visualisation tools
• Proficiency in using query languages such as SQL
• Good scripting and programming skills 
• Data-oriented personality
• B.Tech, M.Tech, B.S., M.S., MBA 

Requirement / Desired Skills

Data Scientist --  Data mining skills , SQL, Advanced ML Techniques, NLP (natural Language Processing)

• Excellent working knowledge on Data Warehousing /Data Migration activity using an ETL tool.
• Strong Data Integration, PostgreSQL/Oracle Database skills, Shell Scripting, Python programming, and development know-how.
• Hands-on experience in working with and generating XML documents.
• Good analytical and business process understanding capability.
• Familiarized with Data Models, Source-Target Data Mapping, Transactional, and Master Data concepts.
• Well-experienced in High level/Detailed design, Performance tuning of ETL jobs.
• Very good communication skills, interpersonal skills, stakeholder management skills, self-motivated, quick learner, team player.
• Exposure to After Sales Business Domain is highly preferred.
• Experience using HP ALM, Jira for ticketing.
• Experience release management