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You are a full-stack data scientist, an experienced quantitative thinker who wants to develop further as both a data scientist and an engineer. You are skilled at finding the precise mathematical kernels of real-world business challenges faced by leading international financial institutions. You want to apply your expertise in statistics and computer science using Quantifind's state-of-the-art infrastructure to solve problems in Natural Language Processing such as Entity Resolution, Document Classification, building Knowledge Graphs and Topic Modeling. You are excited to work at a fast growing company where you will have the chance to expand your scientific and engineering skills in new areas. You share Quantifind's commitment to winning together, and are eager to see your coworkers build on the technical foundations you will be creating. 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.
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 adversarial foreign ownership and influence in critical industries. 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 SaaS solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.
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 is seeking to fill a Full-Stack Data Scientist position in Palo Alto, California, on our Data Science team. We work 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. Members of the Data Science team translate real world problems into quantitative language, find or create algorithms to solve those problems, and implement them in code. Our team values a creative and empathetic approach to problem solving and strives to maintain rigorous scientific and engineering standards. We will give you the opportunity to work on the full data science pipeline, bringing solutions from basic research all the way to production.
Quantifind's development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and in Washington, D.C. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space.
A highlight of our benefits:
The California base salary range for this full-time position is $145,000 to $175,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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.
Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together.
Will you join us? Apply now!
Full Time
IT Outsourcing & Consulting
$135k-166k (estimate)
03/14/2024
06/11/2024
quantifind.com
PALO ALTO, CA
50 - 100
2009
Private
ARI TUCHMAN PHD
$5M - $10M
IT Outsourcing & Consulting
Quantifind is a California-based AI platform that offers anti-money laundering, fraud detection, risk management and related solutions for the financial sector.
The job skills required for Data Scientist include Data Science, Machine Learning, Python, Algorithms, SQL, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.