Position Details:
Title: Machine Learning Developer 2
Location:
Plano, TX 75023
(Hybrid – 4 days/week onsite)
Duration: 6 Months Contract (Possible extension)
Job Description:
Interview process: 2+rounds,
virtual and in person
Minimum
Qualifications
- Bachelor's
or Master’s degree; preferably in data science, business analytics,
computer science, statistics or a related field.
- Proven
experience in strategy consulting, product management, marketing, business
analytics, business planning, and strategy development is preferred
- Proficiency
in MS excel/powerpoint, Python, R, SAS or similar tools for data analysis
and automation
- Strong
business ability to interpret technical findings in a business context
- Excellent
communication skills to present complex insights to non-technical
stakeholders
Preferred
Qualifications:
- Experience
in deploying AI solutions into production environments
- Strong
understanding of macroeconomics, with the ability to analyze and integrate
economic indicators (e.g., Fed rate, inflation rate, GDP, unemployment
rate) into predictive models
- Demonstrated
ability to connect economic trends with business insights to inform
strategic decision-making
- Experience
in mobile/telecom industry is highly desired
Top three skill sets:
- Predictive
modeling,
- Advanced
Analytics,
- Communication/Collaboration
Role & Responsibilities
- Analyze
large, complex datasets to identify smartphone market trends, patterns,
and opportunities for Client (Sell-In, Sell-Out, Installed base,
switching/churn)
- Ensure
the quality and integrity of data for analysis and reporting
- Develop
dashboards, reports, and visualizations to communicate insights to
stakeholders effectively.
- Perform
root-cause/scenario analyses and recommend data-driven solutions.
- Monitor
key performance indicators (KPIs), develop targets and suggest strategies
to improve results
Predictive
Modeling & Machine Learning:
- Design
and implement predictive models to forecast smartphone market demand (TAM,
in volume and revenue)
- Assess
the significance and impact of individual variables (macroeconomics
variables, new model launches, holidays and others) on predictive
outcomes, providing actionable insights to business stakeholders
- Leverage
machine learning algorithms to build robust models that optimize accuracy
and scalability
- Interpret
and explain the contribution of key variables to predictions, helping
teams understand drivers of growth or decline.
AI-Powered
Automation and Process Improvement:
- Identify
opportunities to implement AI-driven solutions to automate manual
processes and improve efficiency.
- Develop
and deploy machine learning models and AI tools to optimize workflows and
enhance scalability.
Business
Strategy & Collaboration:
- Collaborate
with cross-functional teams to define business problems and translate them
into analytical solutions.
- Provide
strategic recommendations based on data analysis to improve operations,
customer experience, and revenue growth.
- Conduct
market analysis and competitor benchmarking to support business planning.
