Identifies, extracts, and processes the data needed to train AI
algorithms, using Hive, Spark, PostgreSQL, and SQL. Develops
strategies for new financial planning related Artificial
Intelligence (AI) enabled experiences. Develops and implements
policies, standards, and procedures for the architectural,
scientific, and technical work performed to ensure regulatory
compliance and operation enhancements. Identifies and prioritizes
AI driven opportunities. Develops and sizes the market and the
client opportunity value of AI solutions and designs, develops, and
maintains those solutions and experiences.
Directs technical and product development experiences in data
analytics, data science, AI, and cloud.
Reviews project activities and prepares and reviews research,
testing, and operational reports.
Plans and directs research, development, and production
Provides financial planning and wellness advice leveraging data
insights across channels.
Designs and develops data extraction and transformation
pipelines, using Nifi, Spark, Hive, and Flink.
Develops data inputs for AI algorithms using multiple
dimensionality reduction techniques,
Designs and trains Machine Learning (ML) algorithms using
techniques -- linear regressions, SVM, decision trees, random
forests, and neural networks.
Designs, integrates, and refines algorithms to classify and
predict client behavior including linear, logistic, SVM
regionssion, KMeans, KNN cluster, random forest decision tress, and
Applies output from new algorithms in front-end experience and
application layers by building and connecting APIs to
recommendation engines, campaign/tagging frameworks, context
metadata, data storage, regulatory archives, batch and streaming
processes, and existing APIs.
Creates pipelines for algorithm design and experimentation.
Evaluates existing and potential data sources and strategic data
architecture to determine potential opportunities for new planning
Extends natural language processing (NLP) capabilities related
to financial planning topics within front-end client
Education and Experience:
Bachelors degree (or foreign education equivalent) in Computer
Science, Engineering, Information Technology, Information Systems,
Mathematics, Physics, Health Informatics, or a closely related
field and six (6) years of experience in the job offered or six (6)
years of experience developing strategies and initiatives and
leading an interdisciplinary team to build and launch enterprise
Or, alternatively, Masters degree (or foreign education
equivalent) in Computer Science, Engineering, Information
Technology, Information Systems, Mathematics, Physics, Health
Informatics, or a closely related field and four (4) years of
experience in the job offered or four (4) years of experience
developing strategies and initiatives and leading an
interdisciplinary team to build and launch enterprise software
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (DE) developing, analyzing, and
evaluating supervised and unsupervised machine learning algorithms
-- regression, decisions trees/random forest, neural networks,
feature selection/reduction, clustering, and parameter tuning --
using R, Python, PySpark, Scala, Java, C++, C#, and C programming
DE designing and developing data pipelines, using batch and
real-time data pipeline tools (Google Cloud DataFlow, Kinesis, and
IBM Streams) and open source frameworks (Apache Spark Streaming and
Storm and Kafka streams); performing data visualization,
interactive exploration, and model development and deployment,
using data science platforms on Cloud -- IBM Watson data
DE cleansing data, using Python, Hive, and Spark; constructing
feature engineering routines using Python; performing data
wrangling and warehousing, and data and application integration,
using advanced transformation techniques (from SQL, Hive, or
Impala) and Big Data; and performing natural language processing to
create data sets for statistical models and machine learning using
DE building the vision, strategy, and roadmap of AI products in
platform level products or services, using Microsoft Office, Aha!,
ProductPlan, and Roadmunk; identifying data strategies and leading
a product team to build new AI technologies, services, and
platforms for enterprise software; taking AI products to market and
driving clients adoption; and leading an interdisciplinary team to
build and launch artificial intelligence enabled experiences.
For full job details and to apply, please visit
https://jobs.fidelity.com/ and search for job number: 2007684.