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Data Scientist II, Client Analysis

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · Hub - New York

Employer listed it 6 weeks ago · Added 5 weeks ago

Been open since 6 weeks ago, still being checked, but it has been live a while.

Salary

$150k to $185k per year

Location

Hybrid · Hub - New York

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Data

Published by the employer

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
Location eligibility not confirmed
Contract
Not mentioned in the advert
Experience asked for
You have 2+ years experience in data science, data analysis, or analytics engineering
Pay
Data Scientists on the Client Analysis team are compensated for their part in driving new business with a generous incentive bonus opportunity on top of competitive base salary.

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around Hub - New York, Hub - San Francisco, Hub - Miami, Hub - Washington DC, Hub - Seattle, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "Hub - New York, Hub - San Francisco, Hub - Miami, Hub - Washington DC, Hub - Seattle, Hybrid"
  • Listing mentions "Hybrid"

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a requirement

  • “You have 2+ years experience in data science, data analysis, or analytics engineering”
  • “You have experience querying relational databases with SQL”

Written as a nice-to-have

  • “You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.”
  • “You have experience in identity verification and fraud prevention (strongly preferred)”

Questions worth asking: Nomaders interpretation

  • This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

Data Scientist, Client Analysis (DS-II)

About the role:

We are currently looking for a Data Scientist (DS-II) to join our Data Science, Client Analysis team to be based remotely in the USA.

In this unique role as Data Scientist, you will leverage your experience developing algorithms and analyzing massive data sets to tell compelling data stories while also working in partnership with the go-to-market team to drive revenue generation for Socure by ensuring that potential and existing customers can understand - through deep analysis - the benefit and value of Socure’s products throughout the pre and post sales cycle.

This is an excellent opportunity for a Data Scientist who thrives when they're able to communicate a data story to an audience (tech and non-tech), and who is not satisfied only working behind the scenes. Data Scientists on the Client Analysis team are compensated for their part in driving new business with a generous incentive bonus opportunity on top of competitive base salary.

Responsibilities:

Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies

Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective

Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically

Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product

Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis

Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Account Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization

Build ML models when it is advantageous to explore different approaches over the established models in production

Qualifications:

You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.

You have 2+ years experience in data science, data analysis, or analytics engineering

You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods

You know how to write clean, performant code in Python, and have 2+ years experience working with massive real-life datasets

You have experience querying relational databases with SQL

You have experience working with cloud tools and technologies in AWS, Azure, Databricks, or GCP

You know how to tell compelling stories with data (dashboarding, building interactive data stories and actionable presentations)

Requirements

  • ·You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.
  • ·You have 2+ years experience in data science, data analysis, or analytics engineering
  • ·You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
  • ·You know how to write clean, performant code in Python, and have 2+ years experience working with massive real-life datasets
  • ·You have experience querying relational databases with SQL

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Socure, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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