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Senior Data Scientist at Beekin

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

02 Apr, 26

Salary

0.0

Posted On

02 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, Javascript, AWS, Docker, MLFlow, Scikit-learn, XGBoost, LightGBM, Data Validation, EDA, PCA, Code Development, R&D, Automation

Industry

Software Development

Description

Beekin is on a mission to make housing fair, affordable and efficient for millions of renters. Our platform leverages cutting edge machine learning, has led millions of dollars in profit, all with better data. We have multiple patents for our AI solutions, and are growing rapidly across markets. We are seeking a data scientist developer to join our engineering team. This is remoe / WFH but based in Pune. As our future colleague, You will be an engineer. You can understand and appreciate code to transform noisy real-world data into high-signal models that stand the test of time. You will be a storyteller. You will communicate your insights in a way that resonates with your partners — including Beekin’s leadership — to turn theory into action. You will be an entrepreneur. You will come to understand the nature of how real estate operates, and strive to make housing fair, transparent and affordable. Our stack is modern day - AWS, Docker, MLFlow, Python, Javascript and you will embrace and contribute to it A Beekin day for you, could mean Having thoughtful discussions with Customer Success & Product to understand Usability requirements Build the future of housing Build reusable code and libraries for future use Contribute actively to R&D and automation of the code base and scalability Giving a human voice to machine learning models through code ✔ 2–5 years of hands-on Data science experience, including deployment and validation ✔ MS or PhD in physics, stats, math or computer science ✔ Strong backend fundamentals with data-heavy workloads, EDA, PCA ✔ Experience with scikit-learn, XGBoost, LightGBM, or similar libraries ✔ Experience with MLFlow and development best practices It would be nice if you also have: ▸ Familiarity with AWS (S3, Lambda, Batch, CloudWatch) ▸ Prior experience in pricing, forecasting, fintech, data or SaaS products A career trajectory you can own and stock options Training & Development Competitive Compensation Competitive Leave Package

Responsibilities

You will transform noisy real-world data into high-signal models and communicate insights effectively to partners. Additionally, you will contribute to building reusable code and libraries for future use.