Director, Data Science - 2005664

Company: Fidelity Investments
Location: Boston, MA
Posted on: April 10, 2020

Job Description:

Position Description:

Researches and builds complex, scalable measurement frameworks for Artificial Intelligence (AI) and Machine Learning (ML) algorithms and projects to improve customer experience and deliver business results. Drives to completion and value generation large-scale AI projects involving multi-dimensional databases, complex business infrastructure, complicated business use cases, and cross-functional teams.

Primary Responsibilities:

Develops data-driven measurement capabilities and best practices based on business and AI/ML approaches

Defines measurement frameworks -- A/B, sampling methods, hypothesis testing, and experimental design -- according to business value propositions.

Creates reports to document current demands and to promote business decision making.

Refines processes and procedures including, Agile project management, project lifecycle, compliance and governance, and portfolio management.

Measures and experiments with AI and ML algorithms to add value to Fidelitys customers and business.

Applies probability theory and statistical methods to collect, organize, and interpret data.

Analyzes and interprets statistical data to identify significant differences in relationships among sources of information.

Partners with AI scientists, analysts, and business stakeholders to deliver use case valuation, testing, and measurement methods of all AI and ML projects.

Leverages data science and ML processes with experimental design to develop data-driven measurement capabilities and best practices.

Implements models in production systems and leverages ML algorithms to measure business value and customer impact.

Transform large volumes of data to AI drive solutions using open source methods.

Educates teams across various business units to measure revenue lift and cost savings for AI projects.

Education and Experience:

Bachelors degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Project Management, Mathematics, or a closely related field and six (6) years of experience in the job offered or six (6) years of experience prototyping and deploying Machine Learning solutions into production environments to drive revenue or cost savings according to Agile methodologies.

Or, alternatively, Masters degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Project Management, Mathematics, or a closely related field and four (4) years of experience in the job offered or four (4) years of experience prototyping and deploying Machine Learning solutions into production environments to drive revenue or cost savings according to Agile methodologies.

Skills and Knowledge:

Candidate must also possess:

Demonstrated Expertise (DE) analyzing and evaluating Machine or Deep Learning models in online advertising (clickstream data, Adobe, and Google analytics), recommender systems (Bayesian models, collaborative systems, restrictive boltzman machines, and reinforcement learning), and user behavior applications (neural network classifiers and RNNs), using R, Python, or C++; writing production-level code to achieve greater performance; and protyopting and deploying Machine Learning solutions using experimentation design (design of experiments, generalized linear models, and mixed effect models).

DE liasing with business, product, and engineering stakeholder teams to assess the validity of Machine Learning models using experimentation design; and communicating revenue or cost saving benefits to senior leadership, using business intelligence tools (Tableau, Qlik, and Excel).

DE executing data science projects across computing environments and platforms -- Linux, Windows, Oracle/SQL, Greenplum/Postgres, and Hadoop/Hive; performing software development -- programming in Python, using data science libraries (NLTK, SciPy, Scikit-Learn, NumPy, or Pandas) and Web frameworks (Django and Flask); creating feature engineering -- natural language processing featurization, bucketizing, and elimination; building Machine Learning models (supervised, unsupervised, and reinforcement learning) in a large financial services environment; and designing and developing data pipelines and cleansing data in AWS, Google Cloud, Azure, and SageMaker, or On-Premises computing tools.

DE managing end-to-end data science and Machine Learning projects, using project management methodologies (Agile, Scrum, or Kanban) and technologies (Atlassian Stack) for gathering and interpreting business and stakeholder requirements.

For full job details and to apply, please visit https://jobs.fidelity.com/ and search job number: 2005664.

Keywords: Fidelity Investments, Plymouth , Director, Data Science - 2005664, Finance , Boston, MA, Massachusetts