Associate Data Scientist

Members of the Data Science team prototype and build complex Machine Learning solutions, improve and refine existing products through data-driven development cycles, and support our customers extract the maximum value out of Quantifind's Graphyte platform through proofs of concepts (POC) and purpose built solutions as necessary. We work closely with the Product Management and Platform teams to anticipate company needs and quickly put state-of-the-art Data Science and AI tools into the hands of end users. As a team member your duties will include:

Collaborating with fellow team members and key stakeholders, such as, Product Managers, Platform Engineers to explore ideas, test hypotheses, and prototype solutions.

Working in an agile environment breaking down complex problems into smaller manageable tasks with the help of your teammates and manager.

Leveraging SQL, Python and PySpark to analyze large unstructured data sets to answer key business questions, inform research directions, or set up modeling tasks.

Designing, writing, and maintaining ETL pipelines for integrating large and complex datasets.

Experimenting with novel ways to use existing data-based solutions to support customers’ unique challenges.

Training machine learning models to solve complex problems.

Implementing Data Science solutions in our Production Scala codebase following software engineering best practices.

Leveraging Large Language Models (LLMs) to scale up various data science tasks (for example: data labeling, extracting structured information, …)

Participating in code reviews.

MS or higher in the following areas: Statistics, Mathematics, or Computer Science

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

Strong knowledge of Statistics/Probability/Machine Learning including core concepts of hypothesis testing, inference, bias-variance trade-off, regularization, dimensionality reduction etc.

Experience using supervised and unsupervised statistical techniques such as regression, classification, and clustering

Experience with popular machine learning algorithms such as random forests, Boosting, and neural networks

Experience with Applied NLP methods is a strong plus, including topic modeling, text classification, word embeddings, and named entity extraction

Strong programming experience in Python and one or more of the following: Scala/Java or R

Experience with SQL and/or Spark

Knowledge of data structures and algorithm complexity

Quantifind is seeking to fill an Associate Data Scientist position on our Data Science team in Palo Alto, California. Our development team is centered here in Palo Alto, 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.