

Ampstek
Sr. Data Scientist---Pleasanton, CA(Local Only)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Scientist in Pleasanton, CA (onsite), on a contract basis. Requires 8-12+ years in data science, expertise in marketing analytics and NLP, proficiency in Python/R, and strong SQL skills.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
Unknown
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ποΈ - Date
December 17, 2025
π - Duration
Unknown
-
ποΈ - Location
On-site
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Pleasanton, CA
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π§ - Skills detailed
#Deployment #Data Science #NLTK (Natural Language Toolkit) #GCP (Google Cloud Platform) #Data Wrangling #Azure #ML (Machine Learning) #SQL (Structured Query Language) #Data Governance #Libraries #Computer Science #Cloud #SpaCy #BERT #TensorFlow #Model Evaluation #Python #Statistics #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #NLP (Natural Language Processing) #Clustering #Model Deployment #PyTorch #Datasets #Classification #Sentiment Analysis #R #Compliance #Scala #Regression
Role description
Role: Sr. Data Scientist
Location : Pleasanton, CA(Onsite)
Job Type: Contract
Job Description:
Role Summary:
We are seeking a Senior Data Scientist with strong experience in marketing analytics and natural language processing (NLP) to design, build, and deploy advanced data science solutions. The ideal candidate will work closely with marketing and business stakeholders to develop predictive models and extract insights from structured and unstructured data.
πΉ Key Responsibilities
β’ Develop and deploy marketing models including segmentation, churn, attribution, CLV, and marketing mix modeling (MMM).
β’ Design and implement NLP solutions such as sentiment analysis, topic modeling, text classification, and embeddings.
β’ Apply machine learning techniques (regression, classification, clustering, ensemble methods).
β’ Perform data preprocessing, feature engineering, and model evaluation.
β’ Work with large-scale structured and unstructured datasets using Python/R and SQL.
β’ Translate business requirements into analytical and predictive solutions.
β’ Present insights and model results to technical and non-technical stakeholders.
β’ Ensure model performance, scalability, and compliance with data governance standards.
πΉ Required Skills & Qualifications
β’ Bachelorβs or Masterβs degree in Data Science, Computer Science, Statistics, or related field.
β’ 8β12+ years of experience in data science or advanced analytics.
β’ Strong hands-on experience with marketing analytics models (MMM, attribution, churn, CLV).
β’ Proven experience in NLP (text mining, sentiment analysis, topic modeling).
β’ Proficiency in Python and/or R.
β’ Experience with ML/NLP libraries: scikit-learn, TensorFlow, PyTorch, spaCy, NLTK.
β’ Strong SQL and data wrangling skills.
β’ Excellent communication and stakeholder collaboration skills.
πΉ Nice to Have
β’ Experience with LLMs (BERT, GPT, embeddings).
β’ Cloud platforms: AWS, Azure, or GCP.
β’ Marketing platforms: Salesforce, Adobe, HubSpot.
β’ MLOps and model deployment experience.
πΉ Keywords (ATS / Search)
Senior Data Scientist, Marketing Analytics, Marketing Models, NLP, Machine Learning, Python, MMM, Attribution Modeling, Text Analytics
Thanks
Rakesh Pathak | Senior Technical Recruiter
Phone: 609-360-2642
Rakesh.pathak@ampstek.com| www.ampstek.com
https://www.linkedin.com/in/rakesh-kumar-pathak-00b039167/
Role: Sr. Data Scientist
Location : Pleasanton, CA(Onsite)
Job Type: Contract
Job Description:
Role Summary:
We are seeking a Senior Data Scientist with strong experience in marketing analytics and natural language processing (NLP) to design, build, and deploy advanced data science solutions. The ideal candidate will work closely with marketing and business stakeholders to develop predictive models and extract insights from structured and unstructured data.
πΉ Key Responsibilities
β’ Develop and deploy marketing models including segmentation, churn, attribution, CLV, and marketing mix modeling (MMM).
β’ Design and implement NLP solutions such as sentiment analysis, topic modeling, text classification, and embeddings.
β’ Apply machine learning techniques (regression, classification, clustering, ensemble methods).
β’ Perform data preprocessing, feature engineering, and model evaluation.
β’ Work with large-scale structured and unstructured datasets using Python/R and SQL.
β’ Translate business requirements into analytical and predictive solutions.
β’ Present insights and model results to technical and non-technical stakeholders.
β’ Ensure model performance, scalability, and compliance with data governance standards.
πΉ Required Skills & Qualifications
β’ Bachelorβs or Masterβs degree in Data Science, Computer Science, Statistics, or related field.
β’ 8β12+ years of experience in data science or advanced analytics.
β’ Strong hands-on experience with marketing analytics models (MMM, attribution, churn, CLV).
β’ Proven experience in NLP (text mining, sentiment analysis, topic modeling).
β’ Proficiency in Python and/or R.
β’ Experience with ML/NLP libraries: scikit-learn, TensorFlow, PyTorch, spaCy, NLTK.
β’ Strong SQL and data wrangling skills.
β’ Excellent communication and stakeholder collaboration skills.
πΉ Nice to Have
β’ Experience with LLMs (BERT, GPT, embeddings).
β’ Cloud platforms: AWS, Azure, or GCP.
β’ Marketing platforms: Salesforce, Adobe, HubSpot.
β’ MLOps and model deployment experience.
πΉ Keywords (ATS / Search)
Senior Data Scientist, Marketing Analytics, Marketing Models, NLP, Machine Learning, Python, MMM, Attribution Modeling, Text Analytics
Thanks
Rakesh Pathak | Senior Technical Recruiter
Phone: 609-360-2642
Rakesh.pathak@ampstek.com| www.ampstek.com
https://www.linkedin.com/in/rakesh-kumar-pathak-00b039167/






