
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.

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office timing 10am to 6pm
office location noida sectore 62
Any Specific criteria to look for in a candidate:
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About Strata
Strata is a commercial real estate investment platform that offers investors the opportunity to invest in pre-leased commercial assets such as offices, warehouses, and retail spaces across India.
We are one of the fastest-growing Fintech platforms in India and are backed by Elevation Capital, Mayfield, Kotak Investment Advisors, Gruhas (a venture by Nikhil Kamath of Zerodha), and DLF Family Office.
Our headquarter is in Bangalore, India.
We are a small yet close-knit team of 35+ people.
Job Description
- Collaborate with a team of engineers and managers to create applications used by our Investors, Channel Partners and Operations Team
- Write clean, self-documenting code that follows best practices and design patterns
- Provide creative ideas to improve our product and technology
- Think beyond the specifics of a ticket in order to delight customers or grow the business
- Be a self-starter that can, at times, take initiative and execute on projects with little direction
Minimum qualifications
- 3-5 years of experience
- Expert in Python with knowledge on at least one industry standard framework like Django, Flask, etc.
- Solid knowledge of developing backend applications
- Have a strong demonstrated ability to ship high-quality products
- Self-motivated, collaborative, and diligent work ethic
- Experience using Docker and cloud technologies such as Amazon Web Services (AWS)
- Database design skills
Spark / Scala experience should be more than 2 years.
Combination with Java & Scala is fine or we are even fine with Big Data Developer with strong Core Java Concepts. - Scala / Spark Developer.
Strong proficiency Scala on Spark (Hadoop) - Scala + Java is also preferred
Complete SDLC process and Agile Methodology (Scrum)
Version control / Git











