epifi - asuureedge global services pvt ltd
Why you should work with us: We are about doing the right thing always, both for our team and users. We are a positive, transparent and inclusive community celebrating success together, encouraging bias for action and individual brilliance. We are ambitious and want everyone thinking - impact and growth- . Our office is not just fun, it is human, nimble and business-like.
With rich experience in the world's leading tech companies and banks, we deeply and equally understand both the - fin- and - tech- in fintech. Funded by leading global VCs, we- re in pursuit of a fantastic experience for both our consumers and colleagues.
What this role is about:
Our Data Scientists are passionate about powering experiences users will love. Join our team of talented technologists and product managers to build the next generation of financial services.
At epiFi you will : Research and build predictive models to help users make the best financial decisions
Influence data-driven decisions through end-to-end ownership of experiments : from collecting and building hypothesesto establishing statistical significance on results
Collaborate closely with other functions on modeling ideas and building analytics
You should apply if : You have at least 3 to 5 years of industry experience in data mining, machine learning, statistical analysis, and modeling
You have a MS or PhD in Computer Science, Physics, Statistics, Applied Mathematics, or any quantitative disciplines
You have have a keen interest in financial services and a passion for shipping high-quality consumer-facing products
You are able to self-manage your priorities and deliverables while working in a fast-paced, startup environment
You have a solid foundation in computer science and strong competencies in data structures, algorithms, and software design, expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods
You are experienced in one or more of the following areas: Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Deep Learning
You are proficient in one or more data-oriented programming languages / tools (e.g. Python, R, Pandas, Scikit-learn, Jupyter) and database languages (e.g. SQL)
You have built and prototyped analysis pipelines iteratively to provide insights at scale, on tools such as Hive, Spark, AWS Redshift
You have a spark that separates you from the crowd and ability to think out of the box and on your feet
You possess multi-dimensional skills that make you a valuable co-worker in a fast, changing and ambiguous environment
You have the ability to learn other coding languages as needed real quick
You are comfortable in working with a team that deals with ambiguity every day
You can articulate complicated technical concepts clearly
We'd also love to see : Interesting hobby projects, open-source contributions, etc
Sharing of knowledge - via either formal mentoring, reviewing code, reviewing design documents, providing technical talks, teaching classes, or as a consultant on projects
Selection process logistics & timelines :
Once we recieve your application, our talent team will review and reach out if we find the profile/portfolio suited for the current requirements. Heres what you can expect as the next steps :
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.
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