Senior Data Science Expert

3 days ago

Delhi, Delhi, India Beem Line Financial LineFin Technology Solutions Private Limited Full time

About Beem:

Beem is an AI-first fintech platform that provides accurate risk rankings for the bottom 80% of the US working population without using FICO scores.

We use this to facilitate payments and distribution of goods and services at risk-adjusted prices and relevant inflection points in their personal financial journey, while capturing more of the $10 trillion in annual spending power they have.

We are building an inclusive modern financial network that allows individuals to establish trust and creditworthiness without the need for credit history, credit score, or payslips.

Our Opportunity:

We are seeking a Senior Data Scientist to work on building AI/ML-powered data products.

The ideal candidate will work with seasoned decision science professionals to create cutting-edge solutions to solve fraud, risk, and marketing-related problem statements.

Responsibilities:

- Focus on developing a clear and concise analytical approach to problem-solving.

- Work with the data engineering team to frame data requirements and set up data pipelines from different source systems into a data warehouse that feeds into various analytics use cases.

- Proficiency in machine learning techniques, including supervised and unsupervised learning, feature engineering, and model evaluation, with exposure to generative AI.

- Stay up-to-date with the latest advancements in data science and machine learning, applying new methodologies and technologies to enhance existing solutions.

- Develop, enhance, and maintain predictive models of credit risk, fraud, and collections.

- Manage project delivery, including timely communication, setting milestones, and tracking.

- Generate actionable insights for business KPI improvements.

- Self-manage priorities and deliverables in a fast-paced startup environment.

Requirements:

- Minimum 4 years of experience with machine learning, analytics consulting, and product development.

- Education: PhD, Master's in Economics, Statistics, Mathematics, or Bachelor's in Computer Science or quantitative fields from premier institutes.

- Must have 4+ years of experience in building predictive models and deploying data products as microservices.

- Experience in driving the implementation of solutions, data, and algorithms on AWS cloud leveraging different services.

- Solid foundation in computer science and strong competencies in data structures, algorithms, and software design, with expertise in statistical data analysis, including linear models, multivariate analysis, stochastic models, and sampling methods.

- Experience in one or more of the following areas: machine learning models, ML infrastructure, natural language processing, or deep learning.

- Proficiency in one or more data-oriented programming languages/tools (e.g., Python packages like Pandas, Scikit-learn, and Jupyter) and database languages (e.g., SQL).

- Prior experience with data visualization tools (e.g., D3.js, GGplot) and NoSQL databases (e.g., MongoDB, Cassandra, HBase).

- Keen interest in financial services and passion for shipping high-quality consumer-facing products.

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