Data Scientist

We are seeking a highly analytical and detail-oriented CVM Data Scientist to support customer analytics initiatives through advanced data analysis, predictive modeling, and data-driven decision-making. This role requires strong SQL expertise, algorithmic thinking, and experience working with large-scale datasets in a fast-paced environment. The ideal candidate will help drive customer retention, revenue growth, and customer experience improvements through actionable insights and machine learning solutions.

Essential Duties & Responsibilities
Analyze large and complex telecom customer and network datasets to identify usage patterns, customer behavior trends, and business opportunities.
Develop and implement algorithms for customer segmentation, churn prediction, behavioral analysis, and customer value optimization.
Write efficient and complex SQL queries to extract, transform, and analyze high-volume data from telecom data warehouses.
Build, validate, and maintain statistical and machine learning models supporting initiatives such as churn reduction, ARPU optimization, and customer lifetime value analysis.
Collaborate with marketing, network, product, and business teams to translate analytical findings into actionable recommendations.
Design dashboards, reports, and visualizations to effectively communicate insights to technical and non-technical stakeholders.
Ensure data quality, integrity, consistency, and governance across multiple data sources including billing systems, CRM platforms, and network usage databases.
Continuously improve analytical methodologies, predictive models, and reporting processes to adapt to evolving customer behaviors and market trends.
Support additional projects and responsibilities as assigned.
Qualifications
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field.
Strong proficiency in SQL and experience working with large relational databases.
Experience with statistical analysis, predictive modeling, and machine learning techniques.
Knowledge of programming languages such as Python or R for data analysis and modeling.
Experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms.
Strong analytical thinking and problem-solving skills.
Ability to communicate complex technical findings to business stakeholders.
Telecom industry experience is highly preferred.

Equal Opportunity Employer / Disabled / Protected Veterans

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The pay transparency policy is available here:
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For temporary assignments lasting 13 weeks or longer, AppleOne is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.

We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.

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We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.