Quantifind

Associate Data Scientist

Washington, DC · Full-time

Sponsorship not specified$100k-$130kDetected 152 days ago

PythonJavaScalaData StructuresAlgorithmsSQLMachine LearningSparkData ScienceNLPLLMsStatisticsA/B TestingHRCollaboration

About the role

Quantifind is seeking to fill an Associate Data Scientist position on our Data Science team.
The Data Science team works closely with the Product Management team and Platform engineers to anticipate company needs and quickly put state-of-the-art mathematical tools into the hands of end users.
Our development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and in Washington, D.C. We are currently using a hybrid mix of working from home and in the office.

Requirements

You are skilled at finding the precise mathematical kernels of real-world problems and want to bring that talent to bear on the business questions facing the world's leading financial services companies.
You are excited to apply your existing expertise in fields such as statistics and computer science to solve mission critical problems.
You are passionate about maintaining the high scientific and engineering standards required to enable your peers.
Above all, you are a curious and independent problem solver who is motivated to find a place where your skills can have real impact.

Nice to have

At least 1 year of professional industry experience, in addition to your academic experience
Outstanding analytical skills and the ability to communicate quantitative results to technical and non-technical audiences
Supervised and unsupervised statistical techniques such as regression, classification, and clustering
Experience with Applied NLP methods such as topic modeling, text classification, word embeddings, and named entity extraction is a strong plus
Experience with SQL and/or Spark
Knowledge of data structures and algorithm complexity

Compensation

The base salary range for this full-time position is $100,000-$130,000.
Competitive salary

Benefits

Company Equity
Exceptional benefits package
Flexible Vacation & Paid Time Off
Training machine learning models to solve complex problems.
Strong knowledge of Statistics/Probability/Machine Learning including core concepts of hypothesis testing, inference, bias-variance trade-off, regularization, dimensionality reduction etc.
Experience with popular machine learning algorithms such as random forests, Boosting, and neural networks
Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Company info

Quantifind helps some of the world's biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities. Unlike other players in this space, Quantifind delivers results as Software-as-a-Service (SaaS) with consumer-grade user experiences.
Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand
Quantifind's solution offers a way to cut through the inefficiency and enhance effectiveness through Machine Learning driven solutions that resolve for both accuracy and relevance.
To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance.
Quantifind helps some of the world's biggest banks catch money laundering and fraud.
Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities.
Unlike other players in this space, Quantifind delivers results as Software-as-a-Service (SaaS) with consumer-grade user experiences.
Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources.
In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes.
Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions.
Legacy technologies demand increasingly more human resources as the operations expand; Quantifind's solution offers a way to cut through the inefficiency and enhance effectiveness through Machine Learning driven solutions that resolve for both accuracy and relevance.
To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours.
We offer a flexible work environment with a family friendly work-life balance.

Equal opportunity

We are an equal opportunity employer.

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This listing is sourced directly from Quantifind's careers page and normalized into a canonical job model.