HarveyNashUSA
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.
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.