Note: The job is a remote job and is open to candidates in USA. Quantifind is a data science technology company that helps major banks combat money laundering and fraud. They are seeking an Associate Data Scientist to collaborate with teams to analyze large datasets, train machine learning models, and implement solutions in a fast-paced startup environment.
Responsibilities
- 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 next steps or set up modeling tasks
- Writing complex pipeline code often involving NLP enrichment steps to process large data sets
- Training machine learning models to solve complex problems
- Productionizing models in a Scala codebase following software engineering best practices
- Validating models using standard and custom performance metrics
- Leveraging Large Language Models (LLMs) to scale up various data science tasks (for example: data labeling, extracting structured information, …)
- Participating in code reviews
Skills
- 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
- 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
- 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
- Experience with Applied NLP methods such as topic modeling, text classification, word embeddings, and named entity extraction is a strong plus
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
- 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.
Company Overview
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