

MSR Technology Group
Senior Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Advanced Analytics, offering a long-term remote contract. Requires 7+ years in advanced analytics, proficiency in Python, R, SQL, and experience in telecom predictive modeling and machine learning.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
December 16, 2025
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#R #Data Engineering #Data Pipeline #Tableau #Scala #Data Science #Predictive Modeling #ML (Machine Learning) #SQL (Structured Query Language) #Statistics #NLP (Natural Language Processing) #Strategy #Python #Migration
Role description
MSR Technology Group has been an Inc 500/5000 corporation for the last 7 years in a row. We have an urgent need for Senior Data Scientist, Advanced Analytics, and this is a 100% Remote. Please find the job details below.
Title: Senior Data Scientist, Advanced Analytics
Location: 100% Remote
Duration: Long Term Contract
Position Description:
Position Overview:
The Senior Data Scientist in Advanced Analytics will support strategic marketing initiatives, drive data-driven decision-making, and optimize campaign performance in a competitive telecom environment. The ideal candidate will have deep expertise in predictive modeling, statistical analysis, and data engineering collaboration, with a proven ability to translate complex data into business impact.
Key Responsibilities:
β’ Develop advanced analytics to uncover customer behaviors, preferences, and lifetime value, driving targeted engagement and retention strategies.
β’ Create frameworks to evaluate sales channel performance and enhance marketing effectiveness.
β’ Build and deploy propensity models to predict customer acquisition and churn, enabling proactive retention and acquisition strategies.
β’ Enhance analytics that differentiate markets by performance metrics, driving growth in underperforming areas.
β’ Analyze market and competitive dynamics influencing customer migration and switching behavior.
β’ Apply machine learning and predictive modeling to forecast trends, identify growth opportunities, and improve competitive positioning.
β’ Perform market analysis to uncover trends, evaluate pricing strategies, and identify differentiation opportunities.
β’ Collaborate with data engineering and IT to ensure accurate, accessible, and optimized data pipelines and analytics infrastructure.
β’ Develop dashboards, KPIs, and reporting tools to monitor and improve marketing and acquisition performance.
β’ Foster a collaborative and innovative analytics culture, driving continuous improvement and knowledge sharing.
Impact:
β’ Drive actionable insights that improve customer acquisition, retention, and engagement.
β’ Enhance sales channel performance and operational effectiveness.
β’ Optimize campaign strategies to deliver measurable business outcomes.
β’ Identify and capitalize on growth opportunities in competitive markets.
β’ Empower decision makers with validated, data driven insights delivered through ad hoc analyses that inform marketing and strategy initiatives.
β’ Shape the future of analytics by designing scalable, automated processes that ensure models remain accurate, fair, and impactful over time.
You will thrive in this role if you:
β’ Have 7+ years of experience in advanced analytics, with a proven ability to deliver insights that drive business growth.
β’ Hold a Bachelorβs degree in Analytics, Statistics, Data Science, Marketing, or a related field (Masterβs degree preferred).
β’ Have strong technical skills and are proficient in analytical tools and platforms, including Python, R, SQL, Tableau, and speech analytics tools (e.g., CallMiner, Verint, NICE).
β’ Have experience with propensity modeling, machine learning, and NLP techniques (preferably within telecom).
β’ Excel at analyzing data to uncover trends, predict outcomes, and create actionable recommendations.
β’ Possess strong communication and collaboration skills to work effectively across teams and stakeholders.
β’ Demonstrate critical thinking and a strong understanding of the telecom industry, including customer acquisition, churn reduction, and pricing strategies.
If you have the above skills/experience, please share your resume in confidence to:
Recruiter Name: Sravan
Email: sravan@msrtechnologies.com
EOE
MSR Technology Group has been an Inc 500/5000 corporation for the last 7 years in a row. We have an urgent need for Senior Data Scientist, Advanced Analytics, and this is a 100% Remote. Please find the job details below.
Title: Senior Data Scientist, Advanced Analytics
Location: 100% Remote
Duration: Long Term Contract
Position Description:
Position Overview:
The Senior Data Scientist in Advanced Analytics will support strategic marketing initiatives, drive data-driven decision-making, and optimize campaign performance in a competitive telecom environment. The ideal candidate will have deep expertise in predictive modeling, statistical analysis, and data engineering collaboration, with a proven ability to translate complex data into business impact.
Key Responsibilities:
β’ Develop advanced analytics to uncover customer behaviors, preferences, and lifetime value, driving targeted engagement and retention strategies.
β’ Create frameworks to evaluate sales channel performance and enhance marketing effectiveness.
β’ Build and deploy propensity models to predict customer acquisition and churn, enabling proactive retention and acquisition strategies.
β’ Enhance analytics that differentiate markets by performance metrics, driving growth in underperforming areas.
β’ Analyze market and competitive dynamics influencing customer migration and switching behavior.
β’ Apply machine learning and predictive modeling to forecast trends, identify growth opportunities, and improve competitive positioning.
β’ Perform market analysis to uncover trends, evaluate pricing strategies, and identify differentiation opportunities.
β’ Collaborate with data engineering and IT to ensure accurate, accessible, and optimized data pipelines and analytics infrastructure.
β’ Develop dashboards, KPIs, and reporting tools to monitor and improve marketing and acquisition performance.
β’ Foster a collaborative and innovative analytics culture, driving continuous improvement and knowledge sharing.
Impact:
β’ Drive actionable insights that improve customer acquisition, retention, and engagement.
β’ Enhance sales channel performance and operational effectiveness.
β’ Optimize campaign strategies to deliver measurable business outcomes.
β’ Identify and capitalize on growth opportunities in competitive markets.
β’ Empower decision makers with validated, data driven insights delivered through ad hoc analyses that inform marketing and strategy initiatives.
β’ Shape the future of analytics by designing scalable, automated processes that ensure models remain accurate, fair, and impactful over time.
You will thrive in this role if you:
β’ Have 7+ years of experience in advanced analytics, with a proven ability to deliver insights that drive business growth.
β’ Hold a Bachelorβs degree in Analytics, Statistics, Data Science, Marketing, or a related field (Masterβs degree preferred).
β’ Have strong technical skills and are proficient in analytical tools and platforms, including Python, R, SQL, Tableau, and speech analytics tools (e.g., CallMiner, Verint, NICE).
β’ Have experience with propensity modeling, machine learning, and NLP techniques (preferably within telecom).
β’ Excel at analyzing data to uncover trends, predict outcomes, and create actionable recommendations.
β’ Possess strong communication and collaboration skills to work effectively across teams and stakeholders.
β’ Demonstrate critical thinking and a strong understanding of the telecom industry, including customer acquisition, churn reduction, and pricing strategies.
If you have the above skills/experience, please share your resume in confidence to:
Recruiter Name: Sravan
Email: sravan@msrtechnologies.com
EOE






