We are looking for candidates to build and implement analytics solutions to our esteemed clients. The incumbent should have strong aptitude for numbers, experience in any domain and willingness to learn some cutting edge technologies. Roles & Responsibilities:
Understand the requirements from the business and translate it into an appropriate technical requirements.
Creating a detailed business analysis, outlining problems, opportunities and solutions for a business.
Perform activities related to data wrangling, model building and model deployment.
Stay current with the latest research and technology and communicate your knowledge throughout the enterprise.
Lead initiatives to improve the team morale, camaraderie, and collaboration Technical Skills: Must Have Skills:
Hands-on experience in Data Science, Python/R, PySpark/SparkR Coding and associated state of the art technologies for Exploratory Data Analysis, building predictive models with big data. Familiarity with standard Clustering, Classification, dimensionality reduction and other techniques/Algorithms in Machine learning.
Experience in building and implementing ML driven business transformation use cases such as Demand Forecasting, Price/Promo Optimization, etc.
Hands-On MS Azure/GCP/AWS Cloud, Databricks/Snowflake, SQL knowledge
Scaling ML Models from POC phase.
List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup
Ability to communicate actionable insights using data, often to a non-technical audience.
Ability to drive end-to-end data driven solutions with excellent sense of risk and resource management in any given situation
Good knowledge on statistical concepts such as properties of distributions, statistical tests and their proper usage.
Analyze and extract relevant information from large amounts data to help in automating the solutions and optimizing key processes.
A quick and enthusiastic learner (must) and who is willing to work on new technologies depending on requirement. Other key to have Skills:
SQL knowledge and experience working with relational databases.
Understanding of any one of domain (Eg: Retail, Supply chain, Logistics, Manufacturing).
Understanding of the project lifecycles: waterfall and agile.
ATS Match is available
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