Job Description
COMPANY MISSION AND HIGHLIGHTS:
mPulse Mobile, the leader in mobile health engagement, drives improved health outcomes and business efficiencies by engaging individuals with tailored and meaningful dialogue. mPulse Mobile combines technology, analytics and industry expertise that helps healthcare organizations activate their consumers to adopt healthy behaviors. With 9 years, 60+ healthcare customers, and more than a hundred million messages sent annually, mPulse Mobile has the data, the experience and the technology to drive healthy behavior change.
OUR CORE VALUES:
Model Integrity and Collaboration
Drive Innovation and Thought Leadership
Support Decision Making at All Levels
Create Value for Clients by Empowering Consumers
Improve Customer Experience Through Simple Design
Celebrate Success… Often
PURPOSE OF THE ROLE:
The mission of the Data Science and Analytics (DSA) team at mPulse is to uncover insights from data in order to help drive better patient engagement and health outcomes. We are looking at everything from tactical optimizations to broad level strategic direction that is grounded in data evidence and heavy analytical rigor.
This requires a multidisciplinary blend of data science, behavioral science, and business strategy, all applied in tandem to discover key insights that lie hidden in our data sets. The Data Engineer will help build a research-based and data-driven approach to optimize mobile customer engagement. This role will focus on deep diving into a broad variety of exploratory initiatives to improve segmentation, tailoring and personalization of mobile engagement.
DUTIES AND RESPONSIBILITIES:
Working with the data science and data analytics team to refine and develop data science and analytics (DSA) product roadmap
Support Redshift cluster management including monitoring, performance tuning, and optimization
Create ELT – data transformations and monitor nightly loads.
Responsible for data loads and data extracts via Airflow DAG and python code.
Understanding and applying data mining techniques, including NLP, clustering algorithms and regression analysis to generate deep insight and discover effective solutions to challenging problems
SKILLS, ABILITIES, AND EXPERIENCE:
2-5 years of experience in a corporate, start-up, or research environment
2-5 years of experience mentoring data analysts (corporate)
2-5 years of experience in Airflow DAG creation, debugging and maintenance
2-5 years of experience in PostgreSQL and Elasticsearch
2-5 years of experience in Redshift administration and management
Strong background and solid skills in interactive data visualization (Tableau, Django, Shiny, D3.js)
Experience in research methods, exploratory data analysis, and machine learning
Intense intellectual curiosity – strong desire to always be learning
Analytical, creative, and innovative approach to solving difficult problems
MINIMUM QUALIFICATIONS:
4 year BS/ BA Degree in Computer Science, Computer Engineering or other related field
5 years of direct experience as a data engineer or working directing in data engineering / data science.
2-5 years of experience with Python (Pandas, NumPy, sciKit-learn), SQL and R
US Citizen
_*PLEASE NOTE, DUE TO THE REQUIREMENTS OF THIS POSITION, RESPONSES MAY AUTOMATICALLY DISQUALIFY YOU FROM MOVING FORWARD IN THE APPLICATION PROCESS. PLEASE REVIEW MINIMUM QUALIFICATIONS THOROUGHLY BEFORE APPLYING. _
BEHAVIORAL COMPETENCIES:
Behavioral Competencies:
Customer Focused
Attention to Detail
Independent Self-Starter
Highly Organized
Critical Thinker
Problem Solver
Excellent Communicator
Ability to Prioritize
Team Work & Collaboration
Multi-Tasker with Strong Sense of Urgency
THE PERKS:
Enjoy Flexible PTO and flexible work hours
Full Vision, Dental and Healthcare - all individual premiums paid by mPulse!
401K Program with a 4% match
3 Weeks Paid Maternity/Paternity Leave
Weekly team lunches to celebrate victories
Paid Parking as well as Car Pooling incentives
Laptop fitness stations
Ping pong conference table and Foosball
Free snacks and drinks
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