Data Scientist
Data Scientist
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$ 87000 - 147900
1 Vacancy
Job Description
The Group:
Morningstars Research group provides independent analysis on individual securities funds markets and portfolios. The Research group also provides data on hundreds of thousands of investment offerings including stocks mutual funds and similar vehicles along with realtime global market data on millions of equities indexes futures options commodities and precious metals in addition to foreign exchange and Treasury markets. Morningstar is one of the largest independent sources of fund equity and credit data and research in the world and our advocacy for investors interests is the foundation of our company.
The Role:
As a Data Scientist you will be a leading contributor in the implementation of Artificial Intelligence (AI) within Data Collections software applications APIs and other data products. This role requires significant interaction with both upstream and downstream stakeholders across Technology Data Products Sales/Service and Research.
The Data Scientist will transition approved Data Collections AI products from a prototype phase to a scalable and consumable service. Often these services must be integrated into Morningstars platform of financial products so that our clients can use these software tools in the investment decisionmaking process.
We are looking for an individual who possesses strong technical development skills an ability to follow analyst requirements and technical specifications for robust code and a passion for investment research.
This position reports to the Tech Manager of the Data Collections AI team.This position is based in our Chicago office. We follow a hybrid policy of 3 days onsite and 2 days remote work. Candidates must be currently authorized to work Permanently in the United States this position does not sponsor H1B Visa.
Responsibilities:
- Automate manual data collection processes by applying cuttingedge solutions to tackle NLP problems e.g. text classification NER tasks.
- Collaborate with upstream data analysts to clarify business needs define project scope design ML/AI solutions and iteratively improve workflows and data storage practices
- Implement ML/AI solutions from start to finish and collaborate with peer engineering teams for model deployment
- Design innovative ways to improve automation rates for data collection
- Research on latest technologies and propose new solutions to existing problems
- Participate in team brainstorming sessions provide guidance to MLDAs (machine learning data analysts) and contribute to the codebase
- Introduce and follow good development practices innovative frameworks and technology solutions
- Follow best practices like estimation planning reporting and improvement brought to processes in daily work
Requirements:
- No minimal industrial experience is required if you have a Ph.D. degree in engineering computer science statistics or related field
- Must demonstrate ML/AI knowledge and skills through research and/or sideprojects in NLP related fields if you have no prior industrial experience
- Must have 2 years of industrial experience in a data science role featuring NLP tasks if you have a masters degree or below
- Fluent with Python and related packages like NumPy pandas scikitlearn NLTK PyTorch TensorFlow etc.
- Sound knowledge of common ML/AI algorithms (e.g. linear/logistic regression random forest gradient boosting) and Deep Learning algorithms in particular (e.g. transformers BERT opensource LLMs)
- Experience with SQL
- Great communication and presentation skills
- Able to work independently and being proactive
- Experience with generative AI is preferred
- Experience with finetuning LLMs is preferred
- Experience with DevOps tools (e.g. Sagemaker Git Jenkins) is desirable
- Experience developing and deploying solutions using services in the Amazon AWS ecosystem (Lambda Sagemaker EC2 RDS EMR)is desirable
Intermediate knowledge of statistical methods is desirable
- Familiarity with common data cleaning and munging techniques
- Familiarity with data visualization
- Familiarity with statistical methods e.g. linear/logistic regression optimization
- Familiarity with mutual fund fixed income and equity data is a plus
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. Thats why we champion your wellness through a widerange of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
- Financial Health
- 75 401k match up to 7
- Stock Ownership Potential
- Company provided life insurance 1x salary commission
- Physical Health
- Comprehensive health benefits (medical/dental/vision) including potential premium discounts and companyprovided HSA contributions (up to $500$2000 annually) for specific plansand coverages
- Additional medical Wellness Incentives up to $300$600 annual
- Companyprovided long and shortterm disabilityinsurance
- Emotional Health
- TrustBased Time Off
- 6week Paid Sabbatical Program
- 6Week Paid Family Caregiving Leave
- Competitive 824 Week Paid Parental Bonding Leave
- Adoption Assistance
- Leadership Coaching & Formal MentorshipOpportunities
- Annual Education Stipend
- Tuition Reimbursement
- Social Health
- Charitable Matching Gifts program
- Dollars for Doers volunteer program
- Paid volunteering days
- 15 Employee Resource & Affinity Groups
Base Salary Compensation Range
$79091..00 USD AnnualTotal Cash Compensation Range
$87000..00 USD AnnualMorningstars hybrid work environment gives you the opportunity to work remotely and collaborate inperson each week. While some positions are available as fully remote weve found that were at our best when were purposely together on a regular basis typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are youll have tools and resources to engage meaningfully with your global colleagues.
001MstarInc Morningstar Inc. Legal EntityEmployment Type
Full-Time
