About this role
Curious and independent quantitative thinkers who want to develop further as both data scientists and engineers will thrive in this role at Quantifind. The Data Science team collaborates closely with Product Management and Platform engineers to translate real-world business challenges into mathematical models and deploy them into production software.
Team members work on natural language processing problems such as entity resolution, document classification, knowledge graphs, and topic modeling using the Graphyte platform. This position exists to help major financial institutions and government agencies uncover financial crimes, money laundering, and fraud through advanced artificial intelligence solutions. Candidates who enjoy client-facing work at the intersection of software and consulting while maintaining rigorous scientific standards will find a strong fit here.
What you will do
- Translate imprecise business requirements from leading international financial institutions into precise quantitative problems.
- Develop algorithms and mathematical tools for natural language processing challenges including entity resolution, document classification, and topic modeling.
- Build scalable and reliable machine learning pipelines using software engineering best practices.
- Collaborate closely with Sales, Product, and Technology teams in a client-facing capacity to support financial crime detection.
- Communicate complex methodologies, assumptions, and conclusions clearly to both technical and non-technical audiences.
- Work across the full spectrum of data science challenges from initial algorithm prototyping to production deployment.
What you need
- Hold a Master's degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative field.
- Possess at least two years of professional industry experience beyond academic work.
- Demonstrate proficiency in two or more programming languages including Scala, Java, Python, or R.
- Apply in-depth knowledge of statistics, probability, and machine learning foundations such as regularization and model explanation.
- Work with large-scale datasets containing millions of records using SQL and Spark.
- Exhibit excellent written and verbal communication skills for technical and client presentations.
Nice to have
- Prior experience with Natural Language Processing methods such as Word and Contextual Embeddings
- Experience with Named Entity Recognition and large-scale Document Classification
- Familiarity with Sequence-to-Sequence Models and Topic Modeling
Benefits
- Competitive salary range of $140,000 to $170,000
- Company Equity
- Exceptional benefits package
- Flexible Vacation and Paid Time Off
- Employer-matched 401(k) plan
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
Quantifind uses a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space.
What is the salary range for this position?
The base salary range for this full-time position is $140,000 to $170,000, with individual pay determined by work location, knowledge, skills, and experience.
What technologies and tools will I be using?
The team works with tools and languages such as Scala, Java, Python, R, SQL, and Spark to build natural language processing and machine learning solutions.
What team will I be working with?
You will join the Data Science team and work closely with the Product Management team and Platform engineers to put mathematical tools into the hands of end users.