N720 | Data Scientist / Data Sciences Data Scientists

N720 | Data Scientist / Data Sciences Data Scientists

13 Nov
epifi - asuureedge global services pvt ltd

13 Nov

epifi - asuureedge global services pvt ltd


Job Description

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 :

The original job offer can be found in Kit Job:

Reply to this offer

Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.

Subscribe to this job alert:
Enter Your E-mail address to receive the latest job offers for: n720 | data scientist / data sciences data scientists
Publish a new Free Offer
Need to publish an offer? With more than 1 million unique users per month, you will find the ideal candidate for your company instantly, what are you waiting for!
Publish Now

Subscribe to this job alert