paper datatobiz

POSITION : Data Scientist

Key Responsibilities:
  1. As a Data Scientist on our team, you will be responsible for solving complex big-data problems for various clients (on-site and off-site) using data mining, statistical analysis, machine learning, deep learning.
  2. One of the primary responsibilities will be to understand the business need and translate it into an actionable analytical plan in consultation with the team.
  3. Ensure that the analytical plan aligns with the customer’s overall strategic need.
  4. Understand and identify appropriate data sources required for solving the business problem at hand.
  5. Explore, diagnose and resolve any data discrepancies – including but not limited to any ETL that may be required, missing value and extreme value/outlier treatment using appropriate methods.
  6. Execute project plan to meet requirements and timelines.
  7. Identify success metrics and monitor them to ensure high-quality output for the client.
  8. Deliver production-ready models that can be deployed in the production system.
  9. Create relevant output documents, as required – power point deck/ excel files, data frames etc.
  10. Overall project management – Creating a project plan and timelines for the project and obtain sign-off.
  11. Monitor project progress in conjunction with the project plan – report risks, scope creep etc. in a timely manner.
  12. Identify and evangelize new and upcoming analytical trends in the market within the organization.
  13. Implementing the applications of these algorithms/methods/techniques in R/Python
Key Skills:
  1. 3+ years experience working Data Mining and Statistical Modeling for predictive and prescriptive enterprise analytics.
  2. 2+ years of working with Python, Machine learning with exposure to one or more ML/DL frameworks like Tensorflow, Caffe, Scikit-Learn, MXNet, CNTK.
  3. Exposure to ML techniques and algorithms to work with different data formats including Structured Data, Unstructured Data, and Natural Language.
  4. Experience working with data retrieval and manipulation tools for various data sources like: Rest/Soap APIs, Relational (MySQL) and No-SQL Databases (MongoDB), IOT data streams, Cloud-based storage, and HDFS.
  5. Strong foundation in Algorithms and Data Science theory.
  6. Strong verbal and written communication skills with other developers and business client
  7. Knowledge of Telecom and/or FinTech Domain is a plus.

Job Type: Full-time

Salary: ₹450,000.00 to ₹850,000.00 /year

Experience: Machine Learning: 2 years (Required)

Education: Master’s (Preferred)

Language:English (Required)

Interested Candidates please share their resume at