Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist contract position for 6 months, paying $50.00 - $55.00 per hour, requiring in-person work. Key skills include Python, R, machine learning frameworks, and AWS. Experience with ETL tools and big data technologies is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Virginia Beach, VA 23458
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🧠 - Skills detailed
#Unix #Automation #Visualization #Datasets #ML (Machine Learning) #Big Data #Looker #Cloud #Scala #Storage #"ETL (Extract #Transform #Load)" #Scripting #Shell Scripting #Talend #Unsupervised Learning #Database Design #Data Science #TensorFlow #SQL (Structured Query Language) #Spark (Apache Spark) #Model Deployment #Data Analysis #Data Storage #Data Interpretation #Programming #SAS #Supervised Learning #Hadoop #R #Databases #Bash #Data Mining #Data Processing #Java #Python #Deployment #Data Integration #AWS (Amazon Web Services) #NLP (Natural Language Processing)
Role description
OverviewWe are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will possess a strong analytical mindset and a passion for leveraging data to drive business decisions. As a Data Scientist, you will be responsible for developing predictive models, performing data analysis, and utilizing machine learning techniques to extract insights from complex datasets. You will collaborate with cross-functional teams to enhance our data-driven strategies and contribute to innovative projects.
Responsibilities
Develop and implement machine learning models and algorithms to solve business problems.
Conduct data mining and analysis to identify trends, patterns, and insights.
Collaborate with engineering teams to design and optimize ETL processes for data integration.
Utilize advanced analytics tools and frameworks such as TensorFlow, Spark, and SAS for model training and deployment.
Design databases and manage data storage solutions to ensure efficient access and retrieval.
Work with big data technologies like Hadoop to process large datasets effectively.
Apply natural language processing techniques to enhance data interpretation capabilities.
Engage in model deployment activities to operationalize machine learning solutions.
Communicate findings through visualizations using tools like Looker and provide actionable recommendations.
Skills
Proficiency in programming languages such as Python, R, Java, C, and SQL.
Experience with machine learning frameworks including TensorFlow, Spark, and others.
Familiarity with AWS cloud services for scalable data solutions.
Knowledge of unsupervised learning techniques and their applications.
Strong understanding of analytics principles and methodologies.
Experience in database design and management for efficient data handling.
Familiarity with ETL tools such as Talend for data processing workflows.
Understanding of linked data concepts and quantum engineering principles is a plus.
Proficiency in Bash (Unix shell) scripting for automation tasks.
Excellent problem-solving skills with the ability to work independently or as part of a team. Join us in our mission to harness the power of data!
Job Type: Contract
Pay: $50.00 - $55.00 per hour
Work Location: In person
OverviewWe are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will possess a strong analytical mindset and a passion for leveraging data to drive business decisions. As a Data Scientist, you will be responsible for developing predictive models, performing data analysis, and utilizing machine learning techniques to extract insights from complex datasets. You will collaborate with cross-functional teams to enhance our data-driven strategies and contribute to innovative projects.
Responsibilities
Develop and implement machine learning models and algorithms to solve business problems.
Conduct data mining and analysis to identify trends, patterns, and insights.
Collaborate with engineering teams to design and optimize ETL processes for data integration.
Utilize advanced analytics tools and frameworks such as TensorFlow, Spark, and SAS for model training and deployment.
Design databases and manage data storage solutions to ensure efficient access and retrieval.
Work with big data technologies like Hadoop to process large datasets effectively.
Apply natural language processing techniques to enhance data interpretation capabilities.
Engage in model deployment activities to operationalize machine learning solutions.
Communicate findings through visualizations using tools like Looker and provide actionable recommendations.
Skills
Proficiency in programming languages such as Python, R, Java, C, and SQL.
Experience with machine learning frameworks including TensorFlow, Spark, and others.
Familiarity with AWS cloud services for scalable data solutions.
Knowledge of unsupervised learning techniques and their applications.
Strong understanding of analytics principles and methodologies.
Experience in database design and management for efficient data handling.
Familiarity with ETL tools such as Talend for data processing workflows.
Understanding of linked data concepts and quantum engineering principles is a plus.
Proficiency in Bash (Unix shell) scripting for automation tasks.
Excellent problem-solving skills with the ability to work independently or as part of a team. Join us in our mission to harness the power of data!
Job Type: Contract
Pay: $50.00 - $55.00 per hour
Work Location: In person
