Data Scientist
- Category: Et cetera
- Deadline: 01st September 20222022-09-01T00:00:00-0700
- Massachusetts
Vacancy expired!
job summary:Fidelity TalentSource is your destination for discovering your next temporary role at Fidelity Investments. We are currently sourcing for a Data Scientist to work at Fidelity in Boston, MA! How should AI tools and techniques be applied to the investing process? We are expanding our AIML (Artificial Intelligence and Machine Learning) team for asset management at Fidelity's AI Center of Excellence to deepen our use of AI in asset management. We are looking for a creative thinker with the technical knowledge to lead and come up with innovative ideas for the applications of AI for asset management. The ideal person is intellectually curious, persistent with the details, mathematically and technically capable, a strong communicator that can converse with AI specialists and business partners, and has an entrepreneurial spirit to push the frontiers of what is possible in the application of AI in the finance domain. If this sounds like a great fit, come join our team! You will partner with business stakeholders to identify/prioritize top AI opportunities, create business/technical requirements, transform large volumes of data into AI-driven solutions using creative, cutting edge open source methods/technologies, lead ML strategy and road map planning, work across teams and influence the direction of the teams that we work with. The ideal candidate will combine expert AI/ML/Open Source/Tech knowledge with hands-on experience building algorithms/models/programming and outstanding business skills (revenue/cost drivers, customer experience, customer journey, communication, etc.) to manage and deliver complex/critical projects driving significant value to Fidelity. location: Boston, Massachusettsjob type: Contractwork hours: 9am to 5pmeducation: Bachelors responsibilities:
The Expertise You Have:- Preferred Master's Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
- Advanced knowledge in model evaluation, tuning and performance, operationalization and scalability of scientific techniques and establishing decision strategies.
- Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
- Experience in evaluating and making decisions around the use of new or existing tools for a project.
- Experience in projects involving large scale-multi dimensional databases, complex business infrastructure, and cross-functional teams. Three to five successfully launched ML projects would be ideal.
- Programming skills in Python, Spark, Scala, R, SQL, or MatLab
- Experience in the financial domain and familiarity with financial models are highly desirable
- Experience level: Experienced
- Minimum 5 years of experience
- Education: Bachelors