US Tech Solutions Private Limited

Business/ Marketing Ops Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business/Marketing Ops Data Scientist for 6 months, offering a competitive pay rate. Key skills include SQL, Python, data visualization, and experience in marketing analytics within the tech industry. A relevant degree is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
960
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πŸ—“οΈ - Date
October 2, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#Data Manipulation #Data Analysis #R #Python #SQL (Structured Query Language) #Looker #Tableau #CRM (Customer Relationship Management) #Automation #Data Science #Forecasting #Visualization #Computer Science #BI (Business Intelligence) #ML (Machine Learning) #Strategy #Datasets #Marketo #Microsoft Power BI #A/B Testing #Statistics
Role description
Duration: 6 months Job Description: β€’ We are seeking a highly analytical and business-minded Data Scientist to join our Business & Marketing Operations team. This role sits at the intersection of data science, marketing strategy, and operational excellence. The ideal candidate will leverage advanced analytics, statistical modeling, and data-driven insights to optimize marketing performance, improve operational efficiency, and guide strategic decision-making across the organization. Responsibilities: Data Analysis & Insights β€’ Analyze large, complex datasets from multiple sources (CRM, marketing automation platforms, sales systems, web analytics) to uncover trends, opportunities, and risks. β€’ Develop dashboards, reports, and self-service analytics to provide ongoing visibility into marketing and business performance. β€’ Partner with marketing and operations teams to define and track KPIs, ROI, and funnel performance. Modeling & Experimentation β€’ Build predictive and prescriptive models to support marketing attribution, lead scoring, churn prediction, customer lifetime value, and campaign optimization. β€’ Design and analyze A/B tests and marketing experiments to validate hypotheses and measure causal impact. Operational Optimization β€’ Identify bottlenecks in marketing and sales operations and recommend process improvements. β€’ Drive automation of reporting, lead management, and performance tracking to scale business operations efficiently. Strategic Partnership β€’ Collaborate with marketing, sales, finance, and product teams to align data-driven insights with business priorities. β€’ Translate complex data findings into actionable recommendations for executives and stakeholders. β€’ Support annual/quarterly planning and forecasting with scenario modeling and performance benchmarking. Experience: β€’ 3-6+ years of experience in data science, marketing analytics, or business operations roles (tech industry experience preferred). β€’ Proficiency in SQL, Python or R for data manipulation and modelling. β€’ Experience with data visualization tools (Tableau, Looker, Power BI). β€’ Familiarity with marketing platforms (Ads, Salesforce, Marketo, HubSpot, etc.) a strong plus. β€’ Knowledge of statistical modeling, machine learning, and experimental design. Skills: β€’ Marketing Data Scientist β€’ SQL β€’ Python β€’ Data visualization Education: β€’ Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: Karan Madan Email: Karanm@ustechsolutionsinc.com Internal Id: 25-49388