Data Scientist

2 weeks ago

Mumbai Central Mumbai Maharashtra, India Smart Capital Center Full time

We have an exciting role for a Data Scientist to help build and solve some of the most unique, interesting and challenging questions related to Natural language processing (NLP) utilizing a variety of Machine learning and deep learning techniques within Artificial Intelligence.

**About Us**:
We’re on track toward taking our industry-leading technology and massive datastore is even further. Having transformed the commercial real estate origination and portfolio intelligence processes of the largest lenders, including Keybank, Aareal Capital Corporation, JLL, Prudential, and Pacific Life Insurance, we're now leveraging the same technology to help everyday real estate investors.

We've also got a lean, high-performance team headed by great management with zero bureaucracy and a firm belief in investing in each team member's personal development.

**What you will do**:

- Develop models for automated analysis of financial documents
- Develop prediction models for estimating real estate values and risks
- Shape development of our suite of products-Lead expansion of our data science and data processing team

**Requirements and Qualifications**
- 3+ years (middle) and 5+ years (senior) of successful data science experience
- Experience with/good knowledge of NLP, pattern recognition, deep learning and other ML technologies
- Excellent programming skills, expert in Python
- Strong experience with Tensorflow / PyTorch / Keras-Degree in Math / Statistics / Physics
- Preferred:

- experience with big data processing technology stack (Spark, Hadoop, etc.)
- A sense of urgency and ownership over the product-Proactive, high-energy, competitive, and creative individual
- Driven to outperform; dedicated to self-improvement
- Experience in a remote SCRUM team involving daily meetings, grooming, planning, etc
- English level: Intermediate or higher
- Opportunity to relocated in another country

**Industry**
- Real Estate

Employment Type
- Full-time

Schedule:

- Monday to Friday

**Experience**:

- total work: 3 years (preferred)

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