Data Scientist

Quantifind; Palo Alto (CA); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Company Equity

Exceptional benefits package

Flexible Vacation & Paid Time Off

Employer-matched 401(k) plan

Work-life balance

Job summary

A leading tech analytics firm in Palo Alto is looking for a Data Scientist to join their team. In this role, you'll utilize your expertise in statistics and data science to tackle real-world challenges in Natural Language Processing. You'll work collaboratively with Product Management and Engineering to deploy advanced algorithms and maintain high scientific standards. The position offers a competitive salary and equity options in a dynamic work environment committed to innovation.

Qualifications

• 2+ years of professional experience in data science or a related field.
• Proficiency in two or more programming languages such as Scala, Java, Python, or R.
• In-depth knowledge of statistics, probability, and machine learning.

Responsibilities

• Translate real-world problems into quantitative language and create algorithms.
• Work with Product Management and engineering teams to deploy mathematical tools.
• Maintain rigorous scientific and engineering standards in projects.

Skills

Scala

Java

Python

R

Statistics

Machine Learning

Natural Language Processing

SQL

Spark

Education

Master’s degree or higher in Statistics, Mathematics, Computer Science, or related field

Job description

Who You Are

You are a 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 a real impact.

Who We Are

Quantifind is the Risk Intelligence company. We help some of the world’s biggest banks identify money laundering and fraud. Quantifind also works with government agencies, using the same platform, to uncover criminal networks and support national security. Unlike other players in this space, Quantifind delivers results through an AI‑driven SaaS solution with consumer‑grade user experiences. Quantifind’s Graphyte platform uncovers signals of risk across disparate and unstructured text sources using artificial intelligence and natural language processing techniques. 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, Customer Due Diligence, Fraud Risk Management, and Anti‑Money Laundering processes.

What a Great Candidate Looks Like

• Master’s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative field.
• At least 2 years of professional industry experience, in addition to your academic experience.
• Proficient in two or more of the following: Scala / Java, Python, R.
• Outstanding quantitative and analytical ability. Able to take less‑than‑precise business requirements and translate them into quantitative problems that you enjoy solving.
• In‑depth knowledge of Statistics / Probability / Machine Learning, including foundations such as bias/variance trade‑off, regularization, dimension reduction, and model explanation.
• Prior experience with Natural Language Processing (NLP) methods such as Word and Contextual Embeddings, Named Entity Recognition, Topic Modeling, large‑scale Document Classification, and Sequence‑to‑Sequence Models is a significant plus.
• Ability to apply software engineering best practices to build scalable, reliable ML pipelines. Comfortable prototyping algorithms, iterating quickly, and working collaboratively.
• Prior experience working with large‑scale datasets (Millions of records) using SQL and Spark.
• Excellent written and verbal communication skills, prior experience explaining assumptions, conclusions, and methodology to technical and non‑technical audiences.

The Opportunity We Offer

Quantifind is seeking to fill a Data Scientist position 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 spectrum of data science challenges, bringing solutions from research all the way to production.

A Highlight Of Our Benefits

• Competitive salary
• Company Equity
• Exceptional benefits package
• Flexible Vacation & Paid Time Off
• Employer‑matched 401(k) plan
• A fun environment where work‑life balance is valued

The base salary range for this full‑time position is $140,000 to $170,000. 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!