Data Scientist Sql/Python
By Dice At Dallas, TX, United States
Business Requirement Document writing experience - nice to have
Power Point skills to present data analysis
Day One OnSite Position. THIS IS NOT A REMOTE ROLE
Dallas and, 2) New Jersy
Python Scripting (Pandas, Scikit, Numpy etc.)
Interview: 1 Phone + 1 On Site
Data Scientist With Ai (Artificial Intelligence)
By Q1 Technologies, Inc. At Austin, TX, United States
Extensive hands on experience with Python, SQL, MS Excel. Practical work experience of machine learning model development & deployment in Python
Exposure/Experience to ML Ops concepts
Experience on AI/ML model development competencies inclusive (but not limited to) of data science models as below:
·Requirement gathering from stakeholders & ability to translate business problems to analytical problem and suggest analytical solutions/approach.
·Apply industry knowledge to interpret data and improve performance
·Data science solution development & manage and execute data science PoCs, Pilots and projects
Data Engineer With Python
By TekValue IT Solutions At Houston, TX, United States
Need to have solid Python experience.
Should have Data Engineer experience
Should have good communication skills
Client is focusing mostly on migrating from Oracle to NoSQL using Python.
Need strong Experince on python

Are you looking for an exciting opportunity to use your Python skills to make an impact? We are looking for a Data Scientist with Python experience to join our team and help us uncover insights from our data. You will be responsible for developing and deploying data-driven solutions to solve complex business problems. If you have a passion for data and a drive to make a difference, then this is the perfect job for you!

Overview Data Scientist with Python is a professional who uses data science techniques and tools to analyze data and develop insights and solutions to business problems. They use Python programming language to create data models, develop algorithms, and create data visualizations. They also use machine learning and artificial intelligence to develop predictive models and insights. Detailed Job Description Data Scientist with Python is responsible for developing and implementing data science solutions to business problems. They use Python programming language to create data models, develop algorithms, and create data visualizations. They also use machine learning and artificial intelligence to develop predictive models and insights. They analyze data from various sources and develop insights and solutions to business problems. They also collaborate with other teams to develop data-driven solutions. Job Skills Required
• Proficiency in Python programming language
• Knowledge of data science techniques and tools
• Knowledge of machine learning and artificial intelligence
• Ability to analyze data from various sources
• Ability to develop insights and solutions to business problems
• Ability to collaborate with other teams
• Knowledge of data visualization tools
Job Qualifications
• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field
• At least 3 years of experience in data science
• Proficiency in Python programming language
• Knowledge of data science techniques and tools
• Knowledge of machine learning and artificial intelligence
• Ability to analyze data from various sources
• Ability to develop insights and solutions to business problems
• Ability to collaborate with other teams
• Knowledge of data visualization tools
Job Knowledge
• Knowledge of data science techniques and tools
• Knowledge of machine learning and artificial intelligence
• Knowledge of data visualization tools
• Knowledge of data mining and analysis
• Knowledge of database systems
• Knowledge of statistical analysis
Job Experience
• At least 3 years of experience in data science
• Experience in developing data models and algorithms
• Experience in creating data visualizations
• Experience in developing predictive models and insights
• Experience in collaborating with other teams
Job Responsibilities
• Develop data models and algorithms using Python programming language
• Create data visualizations to present insights
• Develop predictive models and insights using machine learning and artificial intelligence
• Analyze data from various sources to develop insights and solutions to business problems
• Collaborate with other teams to develop data-driven solutions
• Monitor and maintain data models and algorithms
• Keep up to date with the latest