Job Location: New York, NY
Software Engineer – Automation Engineering
At FactSet, we’re working to be the best financial data provider on earth. To get there, we need highly motivated, talented individuals who are empowered to find answers through creative technology.
As a Software Engineer in Content 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 markets data; these 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.
What you will be doing?
-
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, develop dashboards and other visualizations for financial experts.
-
Participate to different projects as data scientist and data engineer
- Deliver clean, well-tested code that’s reliable, maintainable, and scalable
- Build predictive models and communicate results with stakeholders
- Deploy working solutions
- Develop dashboards and other visualizations for financial experts.
- Develop processes for data collection, quality assessment, and quality control.
-
Keep up to date / share your passions
- Stay up to date with state-of-the-art approaches and technological advancement
- Share your passion for science, ML and technology
Who you are?
- You have BS or MS in Computer Science or Mathematics related field.
- You have a successful history of writing production grade code and releasing in an enterprise environment.
- You are a team player, and adept at learning new technologies and client workflows
- You have experience working with Agile methodology.
- You have strong analytical skills
- You can communicate about complex subjects to non-technical stakeholders
- You are familiar with python, pandas and numpy
It is great if you have:
- Experience with Neural Networks / Deep Learning.
- Experience with information extraction, parsing and segmentation,
- Experience with machine learning frameworks (sklearn …) and ML workflow
- Experience with NLP libraries and text preprocessing (nltk, SpaCy, Stanza, Flair, Polyglot, gensim, language models, … )
- Experience with cloud environments: AWS, Azure, GCP, …
- Experience in data visualization tools like DataViz, Graphana, Apache Superset…
- Experience with business intelligence tools like Tableau or PowerBI.
- Experience with modern data platforms such as Spark, Hadoop or other map/reduce big data systems and services.
At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. FactSet participates in E-Verify.
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
FactSet is an Equal Opportunity Employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity
Submit CV To All Data Science Job Consultants Across United States For Free
🔍 Explore All Related ITSM Jobs Below! 🚀
✅ Select your preferred "Job Category" in the Job Category Filter 🎯
🔎 Hit "Search" to find matching jobs 🔥
➕ Click the "+" icon that appears just before the company name to see the Job Detail & Apply Link 📝💼