Senior Manager, Data Science - 2073026
Company: Fidelity Investments
Location: Boston,MA
Posted on: March 29, 2023
Job Description:
Position Description: Consults with business and technology partners to identify
priorities and establish data analytic goals. Translates use cases
to Artificial Intelligence (AI), Machine Learning (ML), and
analytics -- data, algorithms, and validation strategy. Drives data
identification, collection, and qualification activities. Leads
efforts to identify signals in data that address use cases directly
or can be leveraged by analytics teams. Designs and provides
critical reviews for algorithmic approaches. Primary Responsibilities: Provides ML leadership on complex projects, often across several
business units and functions. Works directly with technology teams to integrate data science
models into production systems. Writes and delivers reports on findings for technical and
non-technical audiences. Provides critical reviews for algorithm designs. Provides core reviews for algorithm implementations. Conducts research and publications for the technical
community. Assesses data and algorithm design recommendations from data
scientists and recommends changes to larger and more complex
systems. Defines data and model governance practices to operationalize
standards. Formulates mathematical and simulation models of problems,
relating constants and variables, restrictions, alternatives,
conflicting objectives, and their numerical parameters. Performs validation and testing of models to ensure adequacy and
reformulate models. Manages the formulation of mathematical modeling and optimizing
methods to develop and interpret information that assists
management with decision making, policy formulation, or other
managerial functions. Collects and analyzes data and develops decision support
software, service, or products. Develops and supplies optimal time, cost, or logistics networks
for program evaluation, review, or implementation. Elicits, captures, and interprets customer problems from
multiple perspectives across projects or within a program. Establishes and project manages analysis plans for multiple
complex work steams. Manages to the estimation, planning, analysis, design, and
development of projects. Holds accountability for integration into larger,
multi-disciplined projects, as appropriate. Leads and oversees ML strategy and road map planning. Works across teams to influence and lead the direction of
external teams. Education and Experience: Bachelors degree (or foreign education equivalent) in Analytics,
Data Science, Advanced Computer Science, Computer Science,
Engineering, Information Technology, Information Systems,
Mathematics, or a closely related field and five (5) years of
experience in the job offered or five (5) years of experience
researching and building scalable Artificial Intelligence (AI)
solutions using Machine Learning (ML) and Natural Language
Processing (NLP) models and technologies to improve customer
experience and drive business results. Or, alternatively, Masters degree (or foreign education
equivalent) in Analytics, Data Science, Advanced Computer Science,
Computer Science, Engineering, Information Technology, Information
Systems, Mathematics, or a closely related field and three (3)
years of experience in the job offered or three (3) years of
experience researching and building scalable Artificial
Intelligence (AI) solutions using Machine Learning (ML) and Natural
Language Processing (NLP) models and technologies to improve
customer experience and drive business results. Skills and Knowledge: Candidate must also possess: Demonstrated Expertise (DE) performing advanced statistical
analytics to develop and evaluate supervised and unsupervised ML
algorithms -- Regression, Decision Trees, Neural Networks, Feature
Selection, Hyper-Parameter tuning, and ranking models -- using
Python and ML libraries (scikit-learn, Tensorflow, Keras, or
PyTorch). DE designing and developing NLP solutions to process
unstructured and semi-structured text for NLP tasks - Named Entity
Extraction (NER), intent detection, classification, or clustering
-- using classical NLP and ML methods (Deep Learning (DL) and
embeddings). DE launching ML and DL models in a production environment and
performing data and runtime profiling of the solutions to assess
the efficacy of the ML and AI algorithms. DE refactoring production-level code to achieve greater run-time
performance and low latency; prototyping and deploying ML solutions
using Docker-containers and Cloud-based environments (Amazon Web
Services (AWS) servers or AWS SageMaker); and building service
end-points, using REST API and Flask. For full job details and to apply, please visit
http://jobs.fidelity.com/ and search for job number: 2073026.
Keywords: Fidelity Investments, Boston , Senior Manager, Data Science - 2073026, Finance , Boston,MA, Massachusetts
