Description
Company Overview
At FactSet, we're working to be the best financial data provider. We need highly motivated, talented individuals empowered to find answers through creative technology to get there.
Position Overview
As a Software Engineer in Data Solutions Engineering, you will be part of our Digital Transformation, a mission to automate our data acquisition, quality assurance, content creation, and analytics in a scalable cloud environment. With the guidance of financial experts, you will leverage these large data sets to improve the quality and extend the scope of FactSet's existing and next-generation products. You will be working on private market data, which are heterogeneous and voluminous datasets. With the right tools and problem-solving, we want to automate data collection at scale and infer information. The end goals are company classification, tag extraction, relationship mapping, and company valuation. There is huge potential for machine learning, analytics, and NLP.
Your Responsibilities
- Build and scale an automatic data pipeline
- Ingest and analyze various data sources to drive innovation in content creation.
- Automate the acquisition, relevance scoring, and storage of incoming sources.
- Develop processes for data mining, data concordance, and data production.
- Explore and evaluate new data technologies to build a scalable cloud-oriented data platform.
- Optimize data retrieval and develop dashboards and other visualizations for financial experts.
- Participate in different projects as a Data Scientist and Data Engineer
- Deliver clean well-tested code that's reliable maintainable scalable
- Build predictive models communicate results with stakeholders
- Deploy working solutions
- Develop dashboards other visualizations for financial experts
- Develop processes for data collection quality assessment quality control
Keep Up To Date / Share Your Passions
Stay up-to-date with state-of-the-art approaches technological advancement
Share your passion for science ML technology
Who Are You?
You have BS or MS in Computer Science or Mathematics related field.
You have 3+ years of experience as a Software Engineer or Data Scientist.
You have a successful history of writing releasing production-grade code in an enterprise environment.
You are a team player adept at learning new technologies client workflows.
You have experience working with Agile methodology.
You have strong analytical skills.
You can communicate about complex subjects non-technically stakeholders.
You are familiar with Terraform Python Pandas NumPy.
It Is Great If You Have:
Experience with Neural Networks / Deep Learning
Experience with information extraction parsing segmentation
Experience with machine learning frameworks (sklearn) ML workflow
Experience with NLP libraries text preprocessing (nltk SpaCy language models ...)
Experience with cloud environments: AWS Azure
Experience business intelligence tools like Tableau PowerBI
Experience working LLMs
Experience AWS Services like EC2 RDS(Postgres) SQS Sagemaker MLflow S3 API gateway ECS
Experience building large distributed pipelines
Experience UI frameworks like VueJS is plus