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Description
Data Science – Analyst Job Description
Summary
A&MPLIFY is a professional service consultancy combining the power of design, digital technology, and artificial intelligence to help clients supercharge value creation, agility and customer loyalty. The A&MPLIFY team is hand-picked from the top global consulting firms and Fortune 500 customer-focused companies. Individually, we are experience designers, commerce strategists, technologists, data scientists, and operations leaders with deep industry experience. Together we are the unique team clients need to drive growth and build relevance with their customers. With a commitment to positive social impact, we foster a vibrant, inclusive workplace of diverse voices and talents who enjoy what they do, and with whom they do it.
The Intelligence Analyst sits within our Data Science & Analytics community of practice. This is a hybrid role spanning remote, client, and in-office work locations and requires occasional travel.
Job Description
Work in a collaborative environment with teams across A&M and within Digital to drive clients’ Digital Transformation in a broad range of industries via scalable Analytics and AI / ML solutions which solve business problems and create value by leveraging client and external data.
Participate in client discussions, interact with client organization to articulate the value of Data Science approaches, different AI service offerings and guide them on implementation of the same.
Quickly understand client needs, scope of work effort, assemble teams, manage delivery, and articulate findings to client executives
Review and analyze developed models for complete, robustness and alignment to client needs
Qualifications
0-3 years professional work experience as a data scientist or on advanced analytics / statistics projects.
Strong mathematics / econometric / statistical skills, bachelor’s degree in related field
Ability to design databases and run mathematical models in the database to calculate relationship strengths
Excellent team-oriented and interpersonal skills, with a strong interest in consulting
Outstanding communication skills with the ability to clearly articulate findings and present solutions to business partners and customers
Ability to analyze information and identify second-order implications to policy, processes, communications and training
Experience with common Data Science tools such as Python, R, Pytorch, TensorFlow, Keras
Experience with BI tools (Tableau, Power BI, Looker)
Preferred Qualifications
Experience working in a consultative capacity with internal or external clients.
Experience with building and deploying predictive and prescriptive analytics model
Experience designing and implementing organizational or programmatic performance measurement strategies
Experience in building intelligent apps and custom analytics platforms
Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, Snowflake, Kafka
Graph Theory work, potentially Neo4J, TigerGraph, Neptune
Good understanding of modeling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai)
Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud
Experience with Cognitive Analytics including NLP / NLG, Computer Vision, Sentiment analysis
Knowledge of web frameworks to build web applications (R Shiny, Dash)
Knowledge of other coding languages such as Java, Matlab, SAS, C++
