Data Scientist

Dat Scientist

Exp: 9-12Years

Location: Mumbai



  • Job Description:
  • Data science senior lead with Python implementation working experience for various newer AI ML DL algorithms and leading data science projects
  • Works as a senior member in various areas of analytics e.g. IoT/Connected Device/Sensor data analysis or supply Chain or marketing & customer analytics or unstructured data area e.g. NLP, Speech or Computer vision
  • Works as a senior member of data science practice and guide in delivering project along with newer data science workbench or platforms
    • Working with Google cloud and its analytics platform ecosystem, or
    • Working Azure cloud and its analytics platform, or
    • Working with AWS cloud and its analytics platform ecosystem, or
    • Working various bigdata and its analytics platform ecosystem e.g. Cloudera/Hortonworks or
    • Working with SAP Hana platform and its analytics platform ecosystem
  • Works as a senior member in Data Science projects and coordinate the relationship with clients and manage the deliverables of client projects
  • Works to design and develop analytical/ data mining/ machine learning/deep learning models as part of data science solutions
  • Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement analytics as part of a technology solution
  • Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function, more specific to any manufacturing and asset intensive industry domains
  • Ability to support and guide end-to-end model lifecycle management
  • Create model documentation as per client/ regulatory standards
  • Working experience in various AI powered model implementation with NLP, Deep Learning algorithms
  • Develop Models using open source packages e.g. python and R
  • Experiences in unstructured text data analysis; language, speech, image and video data analysis across multiple industries e.g. manufacturing, retail, etc.
  • Gather, evaluate & document business requirements related to analytics, translate to analytics solution definition & ability to implement using Python
  • Manage team consisting of various skills ranging
    • Data extraction from Raw files using Python Anaconda or built in for POC
    • Data pulling or creating from different sources such as HBase, Hive, Impala etc.
    • Responsible for analyzing data from multiple data sources (DBs, flat files, etc.), and building predictive models using Python.
    • Scripting with Python and cron jobs to schedule the run (Batch or Real time)
    • Different models and their performances in Real time and Batch developed using Python (Pandas)/MLib/PySpark and opting the better solution depending on the cases
    • Validate the models – statistically as well as from business perspective in discussions with business stakeholders
    • Ability to support and guide model deployment and model lifecycle management
    • Create model documentation as per client/ regulatory standards
  • Degree in a quantitative field (Math, Statistics, Economics, Computer Science, and/ or Engineering, MBA).
  • Experience and skilled Python (incl. PySpark, Spark, MLib)
  • Hands-on experience in analytical techniques including sampling, clustering, decision trees, SVM, Random Forest, regressions, deep learning etc.
  • Understanding of technology platforms and how statistical software integrates with other technologies
  • Experience with working on large data sets and developing scalable algorithms
  • Experience in leading an analytics/ data science project – both in terms of delivery as well as competency.
  • Excellent presentation and communication skills
  • Strong analytical and problem-solving skills
  • Experience ranges 8+ years
  • Knowledge of where analytics fits in to an end-to-end business solution.
  • Ability to work with business and technology teams to build and deploy an analytical solution as per client needs.
  • Ability to lead a multi-location team working on multiple analytical/ data science projects.
  • Ability to multi-task, solve problems and think strategically.
  • Strong communication and collaboration skills.
  • Travel to various India and Onshore offices for client’s requirements.
  • Hands on experience in Python, or R, SAS. Very good working Knowledge on Python based libraries e.g. Keras & Tensor flow
  • Knowledge in scala, Hive, Hbase, Impala, Kafka and Flume is a plus
  • Knowledge in Data exploration using OpenCV, NumPy, Matplotlib, SciPy and Pandas
  • Working with Google cloud, Azure cloud, AWS, Cloudera/Hortonworks



Posted on:

January 9, 2020

Experience level:

Sr Hires

Contract type:





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