

HeartCentrix Solutions
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist focused on consumer products, offering a remote contract. It requires 5+ years of data science experience, strong SQL and Python skills, and expertise in A/B testing and machine learning.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
August 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Anomaly Detection #Computer Science #A/B Testing #Spark (Apache Spark) #SQL (Structured Query Language) #BigQuery #ML (Machine Learning) #Strategy #Hadoop #Datasets #Data Science #Python #Statistics #Mathematics
Role description
Senior Data Scientist – Consumer Product
• Remote
We are hiring a Senior Data Scientist to support a leading consumer social media and technology platform. This role will work closely with Product, Engineering, and Data Science teams to use data, experimentation, and advanced analytics to improve the consumer experience and drive product growth.
What You'll Do
• Analyze large-scale consumer and product datasets to uncover trends, user behaviors, and growth opportunities
• Design and evaluate A/B tests and experiments
• Define key product metrics and measurement frameworks
• Build dashboards, reporting tools, and self-service data assets for Product and Engineering teams
• Partner with Product Managers and Engineers to translate business and product questions into data science solutions
• Apply statistical and machine learning methods for prediction, anomaly detection, and pattern recognition
• Turn complex analysis into clear recommendations that influence product strategy and roadmap decisions
• Support consumer product areas including Feeds, Search, Growth, and Content
What We're Looking For
• 5+ years of Data Science experience
• Strong SQL and Python skills
• Strong background in experimentation, A/B testing, statistical modeling, and causal inference
• Experience developing or applying machine learning models
• Experience analyzing large-scale datasets using tools such as Spark, Hadoop, Hive, or similar technologies
• Strong Product and Engineering partnership experience
• Ability to communicate insights and recommendations to both technical and non-technical stakeholders
• Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, or a related field
Nice to Have
• Experience within a consumer technology, social media, marketplace, or other high-volume digital product environment
• Experience analyzing user engagement, feeds, search, content, or growth
• BigQuery experience
• Experience working with large-scale experimentation programs
Senior Data Scientist – Consumer Product
• Remote
We are hiring a Senior Data Scientist to support a leading consumer social media and technology platform. This role will work closely with Product, Engineering, and Data Science teams to use data, experimentation, and advanced analytics to improve the consumer experience and drive product growth.
What You'll Do
• Analyze large-scale consumer and product datasets to uncover trends, user behaviors, and growth opportunities
• Design and evaluate A/B tests and experiments
• Define key product metrics and measurement frameworks
• Build dashboards, reporting tools, and self-service data assets for Product and Engineering teams
• Partner with Product Managers and Engineers to translate business and product questions into data science solutions
• Apply statistical and machine learning methods for prediction, anomaly detection, and pattern recognition
• Turn complex analysis into clear recommendations that influence product strategy and roadmap decisions
• Support consumer product areas including Feeds, Search, Growth, and Content
What We're Looking For
• 5+ years of Data Science experience
• Strong SQL and Python skills
• Strong background in experimentation, A/B testing, statistical modeling, and causal inference
• Experience developing or applying machine learning models
• Experience analyzing large-scale datasets using tools such as Spark, Hadoop, Hive, or similar technologies
• Strong Product and Engineering partnership experience
• Ability to communicate insights and recommendations to both technical and non-technical stakeholders
• Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, or a related field
Nice to Have
• Experience within a consumer technology, social media, marketplace, or other high-volume digital product environment
• Experience analyzing user engagement, feeds, search, content, or growth
• BigQuery experience
• Experience working with large-scale experimentation programs



