Socure
More roles at SocureData Scientist II, Client Analysis
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
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Socure, mentioning your remote working experience.
- 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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