Data Scientist

About Angel One :

Angel One (formerly known as Angel Broking) is a technology and data driven financial services company providing broking and advisory services, margin funding, loans against shares and financial products distribution to its clients. We are onboarding more than 500K new users every month & we are one of the fastest growing fintech organisations in India with more than 2 Mn monthly active users. We have received several awards, certificates and accolades for our services, products, technology, and digital initiatives. We have also been recognized among the best places to work. Angel Broking Limited is now a listed entity (IPO 2020).

We are a group of self-driven, motivated individuals who enjoy taking ownership. It is a flat structure, with ample opportunity to showcase your talent, and a growth path for engineers to the very top. We are remote-first with people spread across Bangalore, Mumbai, UAE, and the US.

Angel One - https://www.linkedin.com/company/angelone/

Job Description

The data science team at Angel One aims to produce top-quality work that makes a positive impact on our business. We are looking for experienced self-driven data scientists who match these ideals. The candidate should be adept at discovering insights from large datasets and providing data-driven solutions to business units. Together with a strong technical background, they should fundamentally be curious, creative, and possess a keen sense of observation. They must also have excellent comprehension and communication skills to understand business use-cases and present their findings to stakeholders.

Responsibilities

• Understand data landscape
• Perform ad-hoc analysis and present results in a clear manner
• Develop and test hypothesis in collaboration with domain experts
• Work on the full lifecycle of machine learning development including sourcing, dataset curation, feature engineering, model training, model tuning, and offline & online experimentation
• Understand business problems and evaluate fitment of technical solutions to the problem statement
• Evaluate effectiveness of solutions and work toward its continuous improvement

Requirements / Skills

• Strong programming skills with minimum 2 years of experience in Python
• Experience working with databases and expert knowledge of SQL
• Proficiency in statistical ML algorithms and statistics analysis methods
• Good knowledge of machine learning tools such as Scikit-Learn, Pytorch/Tensorflow
• Knowledge of visualisation tools
• Strong analytical and critical thinking skills
• Great communication skills
• Learning mindset
• Experience in Deep Learning applications is a plus
• Experience with Big Data technologies, e.g.: Spark, Hive, and Presto, and ETL pipelines is a plus

Must Have

• Must have good communication skills and analytical ability
• Statistical and core ML algorithm knowledge must be strong
• Good programming skills
• Enthusiasm to learn