orangepeople

Marketing Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Marketing Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Required skills include proficiency in Python or R, experience with big data tools like Hadoop, and data visualization tools such as Tableau. A Master’s degree in computer science or a relevant field is required, along with experience working with large datasets.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
696
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🗓️ - Date
October 22, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#ML (Machine Learning) #Tableau #Data Modeling #Cybersecurity #Computer Science #AI (Artificial Intelligence) #Programming #Security #R #Consulting #Big Data #Data Analysis #Python #Mathematics #Data Science #Datasets #Base #Hadoop #BI (Business Intelligence) #Visualization #Statistics #"ETL (Extract #Transform #Load)"
Role description
Are you passionate about transforming data into actionable insights that drive strategic decisions? Join our dynamic team as a skilled and analytical Data Scientist and drive data-informed decision-making across the organization. The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. If you thrive in a fast-paced environment and enjoy solving real-world problems through data, we’d love to have you on board. Job Responsibilities • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. • Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. • Generate and test hypotheses, and analyze and interpret the results of product experiments. • Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. • Provide Business Intelligence (BI) and data visualization support, which includes, but limited to, support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support. Skills • Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau. • The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics. • Experience working with large datasets. Education/Experience • Master of Science degree in computer science or in a relevant field. Benefits • 401(k). • Dental Insurance. • Health insurance. • Vision insurance. • We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. • The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. Additional Responsibilities • Participate in OP monthly team meetings and participate in team-building efforts. • Contribute to OP technical discussions, peer reviews, etc. • Contribute content and collaborate via the OP-Wiki/Knowledge Base. • Provide status reports to OP Account Management as requested. About Us OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields — including AI, cybersecurity, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.