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About
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.
What A
Great
Candidate Looks Like:
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
Experience with Applied NLP methods such as topic modeling, text classification, word embeddings, and named entity extraction is a strong plus
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
The Opportunity We Offer 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. The DC team is primarily remote, with periodic in person touchpoints at a physical office space in DC. 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 $100,000-$130,000. 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 pride ourselves on living our values. We are curious. We respect each other. We are proactively transparent. We relentlessly solve problems. We win together. Will you join us? Apply now!
Languages
- English
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