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Senior Data Scientist - 2014156

Company: Fidelity Investments
Location: Boston, MA
Posted on: November 20, 2020

Job Description:

Collects requirements and delivers high value Artificial Intelligence (AI) / Machine Learning (ML) solutions that drive customer and business value. Researches and builds complex, cutting edge, and scalable AI algorithms, models, platforms, and technologies to improve customer experience and drive business results. Recommends changes to complex systems.

Primary Responsibilities:

Identifies relationships and trends in data and factors that affect the results of research.

Analyzes and interprets statistical data to identify differences in relations among information sources.

Builds algorithms and the technologies relevant to the business or customer experience issues.

Establishes decision strategies, using model evaluation, tuning and performance, and operationalization and scalability of scientific techniques.

Reports results of statistical analyses in the form of graphs, charts, and tables.

Develops supervised and unsupervised Machine Learning (ML) algorithms -- regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, and parameter tuning.

Evaluates and makes decisions related to new or existing tools for various projects.

Works with large scale databases and Big Data technologies to solve problems involving large amounts of data and computation.

Designs and develops deep neural networks and computer systems, using ML and Deep Learning (DL) frameworks.

Deploys Artificial Intelligence and Machine Learning (AI/ML) services.

Prepares predictive models and develops algorithms, using Natural Language Processing (NLP), DL, and Neural Networks including, Reinforcement Learning.

Works on Recommender Systems, using RecSim or RecoGym, Reinforcement Learning, Contextual Multi-Armed Bandits, Real Time Event Detection and Scoring, Time Series Analysis, Econometrics, and Cloud technologies.

Identifies and prioritizes AI opportunities.

Creates awareness about issues involving AI fairness evaluation, and bias and risk mitigation for AI applications.

Creates business and technical requirements.

Transforms large volumes of data into AI-driven solutions, using open source methods and technologies, and working with complex business infrastructure and cross-functional teams.

Contributes to open source AI initiatives and partakes in publications at relevant AI/ML organizations.

Leads ML strategy and road map planning.

Works across teams and influences the direction of external teams.

Develops or applies mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information.

Writes and delivers reports on findings for technical and non-technical audiences.

Provides mentorship and guidance for technical work of other data scientists.

Translates use cases to AI/ML and analytics agenda including data, algorithms, and validation strategy.

Drives data identification, collection, and qualification activities.

Assists in defining data and model governance practices to operationalize standards.

Responsible for Agile Delivery practices and project management including, sprint planning, story creation, and backlog grooming.

Education and Experience:

Masters degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience in the job offered or one (1) year of experience developing supervised and unsupervised machine learning algorithms.

Skills and Knowledge:

Candidate must also possess:

Demonstrated Expertise (DE) performing advanced statistical analytics to develop, analyze, and evaluate supervised and unsupervised machine learning algorithms -- Regression, Decision Trees/Random Forest, Neural Networks, Feature Selection/Reduction, Clustering, Hyper-Parameter tuning, marketing attribution models, and treatment control matching -- using Python, C++, Java, Spark or scikit-learn, Tensorflow, Keras, and PyTorch, with specific use cases on Recommender Systems and Reinforcement Learning/Bandits applications within a planning, advice, and financial investments domain.

DE launching Machine or Deep Learning models in online advertising (clickstream data, Adobe, and Google analytics), Recommender Systems (Bandit algorithms, Bayesian models, RecSym, RecoGym, Collaborative Systems, and Reinforcement Learning), and user behavior applications (neural network classifiers, RNNs, BERT, Seq2Seq, LSTMs, and GANs), using Python, C++, and Java to write production-level code to achieve greater performance; prototyping and deploying Machine Learning solutions using experimentation design -- design of experiments, generalized linear models, and mixed effect models; and building service end-points, using REST API, Flask, and Django.

DE performing data and runtime profiling, using scikit-learn, NumPy, and pandas, cprofiler or Valgrind, SHAP or LIME, and Facebook Prophet, Google What-If, or IBM AIF360 to detect financial data seasonality, cycles, trends, AI fairness evaluations, and bias mitigations; and detecting data anomalies, using machine learning and artificial intelligence time series algorithms.

DE improving financial planning and advice offerings and recommendations while liaising 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 -- Seaborn, Plotly, Tableau, Qlik, and Excel.

*Two positions available.

For full job details and to apply, please visit and search for job number: 2014156.

Keywords: Fidelity Investments, Boston , Senior Data Scientist - 2014156, Finance , Boston, MA, Massachusetts

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