

Data Scientist (Contract, Remote)
β - Featured Role | Apply direct with Data Freelance Hub
This role is a remote Data Scientist contract position for 20-40 hours per week, paying $70.00 - $150.00 per hour. Key skills include machine learning, Python, SQL, and big data technologies. A degree in a related field is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
1200
-
ποΈ - Date discovered
August 15, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Remote
-
π§ - Skills detailed
#Statistics #NoSQL #Hadoop #Databases #Database Design #TensorFlow #ML (Machine Learning) #Big Data #Bash #AI (Artificial Intelligence) #Supervised Learning #VBA (Visual Basic for Applications) #Visualization #Datasets #Talend #SAS #Spark (Apache Spark) #Computer Science #Python #Data Integration #Data Mining #Data Manipulation #Programming #Data Science #Data Analysis #Looker #Scala #Java #Unix #Data Extraction #SQL (Structured Query Language) #Unsupervised Learning #"ETL (Extract #Transform #Load)" #NLP (Natural Language Processing) #R
Role description
Job OverviewWe are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in data analysis, machine learning, and statistical modeling. As a Data Scientist, you will be responsible for extracting insights from complex datasets, developing predictive models, and implementing data-driven solutions to enhance business performance. You will collaborate with cross-functional teams to drive innovation and improve decision-making processes.
Responsibilities
Analyze large datasets to identify trends, patterns, and insights that inform business strategies.
Develop and implement machine learning models using frameworks such as TensorFlow, Spark, and R.
Conduct unsupervised learning techniques to uncover hidden patterns within data.
Design and optimize ETL processes for efficient data extraction, transformation, and loading.
Collaborate with engineering teams on database design and management using SQL and NoSQL technologies.
Utilize programming languages such as Python, Java, C, and Bash (Unix shell) for data manipulation and analysis.
Perform data mining activities to gather relevant information from various sources.
Deploy machine learning models into production environments ensuring scalability and reliability.
Engage in natural language processing tasks to analyze text data effectively.
Work with big data technologies like Hadoop to process vast amounts of information.
Create visualizations using tools like Looker to present findings in an understandable manner.
Stay updated on the latest advancements in AI, quantum engineering, and analytics methodologies.
Qualifications
Bachelorβs or Masterβs degree in Computer Science, Data Science, Statistics, or a related field.
Proficiency in machine learning frameworks such as TensorFlow and SAS.
Strong experience with programming languages including Python, Java, C, R, and VBA.
Familiarity with database design principles and SQL for querying relational databases.
Knowledge of big data technologies such as Hadoop and Spark is preferred.
Experience with ETL tools like Talend for data integration tasks.
Understanding of linked data concepts and their applications in analytics.
Ability to work collaboratively in a team-oriented environment while also being self-motivated.
Excellent problem-solving skills with a keen attention to detail. Join us as we leverage the power of data to drive impactful decisions!
Job Type: Contract
Pay: $70.00 - $150.00 per hour
Expected hours: 20 β 40 per week
Benefits:
Flexible schedule
Referral program
Work Location: Remote
Job OverviewWe are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in data analysis, machine learning, and statistical modeling. As a Data Scientist, you will be responsible for extracting insights from complex datasets, developing predictive models, and implementing data-driven solutions to enhance business performance. You will collaborate with cross-functional teams to drive innovation and improve decision-making processes.
Responsibilities
Analyze large datasets to identify trends, patterns, and insights that inform business strategies.
Develop and implement machine learning models using frameworks such as TensorFlow, Spark, and R.
Conduct unsupervised learning techniques to uncover hidden patterns within data.
Design and optimize ETL processes for efficient data extraction, transformation, and loading.
Collaborate with engineering teams on database design and management using SQL and NoSQL technologies.
Utilize programming languages such as Python, Java, C, and Bash (Unix shell) for data manipulation and analysis.
Perform data mining activities to gather relevant information from various sources.
Deploy machine learning models into production environments ensuring scalability and reliability.
Engage in natural language processing tasks to analyze text data effectively.
Work with big data technologies like Hadoop to process vast amounts of information.
Create visualizations using tools like Looker to present findings in an understandable manner.
Stay updated on the latest advancements in AI, quantum engineering, and analytics methodologies.
Qualifications
Bachelorβs or Masterβs degree in Computer Science, Data Science, Statistics, or a related field.
Proficiency in machine learning frameworks such as TensorFlow and SAS.
Strong experience with programming languages including Python, Java, C, R, and VBA.
Familiarity with database design principles and SQL for querying relational databases.
Knowledge of big data technologies such as Hadoop and Spark is preferred.
Experience with ETL tools like Talend for data integration tasks.
Understanding of linked data concepts and their applications in analytics.
Ability to work collaboratively in a team-oriented environment while also being self-motivated.
Excellent problem-solving skills with a keen attention to detail. Join us as we leverage the power of data to drive impactful decisions!
Job Type: Contract
Pay: $70.00 - $150.00 per hour
Expected hours: 20 β 40 per week
Benefits:
Flexible schedule
Referral program
Work Location: Remote