

SoftStandard Solutions
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown" and a pay rate of "unknown." Requires 2–5+ years of experience, strong Python or R skills, SQL proficiency, and expertise in machine learning and data visualization tools.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 18, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Visualization #Data Science #PyTorch #Docker #Pandas #Statistics #Hadoop #Datasets #Mathematics #Predictive Modeling #Data Pipeline #Data Analysis #TensorFlow #Time Series #Computer Science #AI (Artificial Intelligence) #GIT #Microsoft Power BI #Model Deployment #R #AWS (Amazon Web Services) #Forecasting #Version Control #Python #GCP (Google Cloud Platform) #Databases #"ETL (Extract #Transform #Load)" #Kubernetes #Libraries #Tableau #Cloud #Programming #SQL (Structured Query Language) #Matplotlib #BI (Business Intelligence) #ML (Machine Learning) #Deep Learning #Big Data #Deployment #NumPy #Azure #NLP (Natural Language Processing) #Spark (Apache Spark)
Role description
Job Title: Data Scientist
Job Summary
We are seeking a skilled and analytical Data Scientist to extract insights from complex datasets and develop data-driven solutions to business challenges. The ideal candidate will have strong expertise in statistics, machine learning, data analysis, and programming, with the ability to communicate findings effectively to stakeholders.
Key Responsibilities
• Collect, clean, and preprocess structured and unstructured data.
• Analyze large datasets to identify trends, patterns, and business opportunities.
• Develop predictive and machine learning models.
• Design and implement data pipelines and ETL processes.
• Perform statistical analysis and hypothesis testing.
• Create dashboards and visualizations to communicate insights.
• Collaborate with cross-functional teams including engineering, product, and business stakeholders.
• Deploy machine learning models into production and monitor their performance.
• Stay updated with the latest advancements in AI, machine learning, and data science.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 2–5+ years of experience in data science or analytics.
• Strong proficiency in Python or R.
• Experience with SQL and relational databases.
• Hands-on experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of statistics, probability, and predictive modeling.
• Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.
• Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
• Excellent problem-solving and communication skills.
Preferred Skills
• Deep Learning
• NLP (Natural Language Processing)
• Time Series Forecasting
• MLOps and model deployment
• Big Data technologies (Spark, Hadoop)
• Docker and Kubernetes
• Git version control
Technical Skills
• Python
• SQL
• Pandas
• NumPy
• Scikit-learn
• TensorFlow/PyTorch
• Power BI/Tableau
• Git
• AWS/Azure/GCP
Soft Skills
• Analytical thinking
• Problem-solving
• Communication and presentation
• Team collaboration
• Business acumen
• Attention to detail
Experience
• Junior: 0–5 years
• Mid-Level: 5– 8years
• Senior: 10+ years
Job Title: Data Scientist
Job Summary
We are seeking a skilled and analytical Data Scientist to extract insights from complex datasets and develop data-driven solutions to business challenges. The ideal candidate will have strong expertise in statistics, machine learning, data analysis, and programming, with the ability to communicate findings effectively to stakeholders.
Key Responsibilities
• Collect, clean, and preprocess structured and unstructured data.
• Analyze large datasets to identify trends, patterns, and business opportunities.
• Develop predictive and machine learning models.
• Design and implement data pipelines and ETL processes.
• Perform statistical analysis and hypothesis testing.
• Create dashboards and visualizations to communicate insights.
• Collaborate with cross-functional teams including engineering, product, and business stakeholders.
• Deploy machine learning models into production and monitor their performance.
• Stay updated with the latest advancements in AI, machine learning, and data science.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 2–5+ years of experience in data science or analytics.
• Strong proficiency in Python or R.
• Experience with SQL and relational databases.
• Hands-on experience with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of statistics, probability, and predictive modeling.
• Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.
• Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
• Excellent problem-solving and communication skills.
Preferred Skills
• Deep Learning
• NLP (Natural Language Processing)
• Time Series Forecasting
• MLOps and model deployment
• Big Data technologies (Spark, Hadoop)
• Docker and Kubernetes
• Git version control
Technical Skills
• Python
• SQL
• Pandas
• NumPy
• Scikit-learn
• TensorFlow/PyTorch
• Power BI/Tableau
• Git
• AWS/Azure/GCP
Soft Skills
• Analytical thinking
• Problem-solving
• Communication and presentation
• Team collaboration
• Business acumen
• Attention to detail
Experience
• Junior: 0–5 years
• Mid-Level: 5– 8years
• Senior: 10+ years






