Data Scientist 15771 Jobs
Data Scientist Jobs
By Softtek
At Troy, MI, United States
Data Scientist Jobs
By Dropbox
At Florida, United States
Jr. Data Scientist Jobs
By BetterYou
At St Paul, MN, United States
Data Scientist Jobs
By UCLA Health
At , Los Angeles, 90095
$26.20 - $51.39 an hour
Data Scientist Jobs
By Spectrum
At , Stamford, 06902
Data Scientist (Aim) Jobs
By PointClickCare
At United States
Sr. Data Scientist Jobs
By Boncom
At Salt Lake City, UT, United States
Data Scientist - Fortune 500 Company
By Motion Recruitment
At Houston, TX, United States
Data Scientist Jobs
By Burlington Stores, Inc.
At Edgewater Park, NJ, United States
Data Scientist Jobs
By Walgreens
At Deerfield, IL, United States
Data Scientist Jobs
By BlueCross BlueShield of South Carolina
At Columbia, SC, United States
Data Scientist Jobs
By Stellar Professionals
At Richmond, VA, United States
Data Scientist Jobs
By CoStar Group
At , San Francisco, 94111
Data Scientist Jobs
By Henry Ford Health
At , Detroit
Data Scientist Jobs
By SAP
At , Palo Alto, 94304
$130,416 - $145,980 a year
Data Scientist Jobs
By Akkodis
At Addison, TX, United States
Data Scientist Jobs
By Applied Engineering, Inc.
At Fargo, ND, United States
Data Scientist Jobs
By Russell Tobin
At Downey, CA, United States
No C2C - Data Scientist
By Alderson Loop
At Juno Beach, FL, United States
Data Scientist Jobs
By PayPal
At , New York
$84,500 - $204,600 a year
Are you looking for an exciting opportunity to use your data science skills to make a real impact? We are looking for a Data Scientist to join our team and help us uncover valuable insights from our data. You will be responsible for developing and implementing data analysis and predictive models to drive business decisions. You will also be responsible for creating visualizations to communicate your findings. If you are passionate about data and have a knack for problem solving, this could be the perfect job for you!
Overview Data Scientist 15771 is a highly skilled professional who is responsible for analyzing and interpreting large amounts of data to identify patterns and trends. They use their expertise in mathematics, statistics, and computer science to develop algorithms and models that can be used to make predictions and decisions. Detailed Job Description Data Scientist 15771 is responsible for collecting, analyzing, and interpreting large amounts of data from multiple sources. They must be able to identify patterns and trends in the data and develop algorithms and models to make predictions and decisions. They must be able to communicate their findings to stakeholders and other members of the team. They must also be able to develop and implement data-driven solutions to business problems. Job Skills Required• Strong analytical and problem-solving skills
• Expertise in mathematics, statistics, and computer science
• Ability to develop algorithms and models
• Knowledge of data mining and machine learning techniques
• Ability to interpret and present data
• Knowledge of database management systems
• Ability to work with large datasets
• Excellent communication and interpersonal skills
Job Qualifications
• Bachelor’s degree in mathematics, statistics, computer science, or a related field
• Master’s degree in a related field preferred
• 5+ years of experience in data analysis and interpretation
• Proficiency in programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau and Power BI
Job Knowledge
• Knowledge of data mining and machine learning techniques
• Understanding of data structures and algorithms
• Knowledge of database management systems
• Understanding of statistical analysis and predictive modeling
• Knowledge of data visualization tools
Job Experience
• 5+ years of experience in data analysis and interpretation
• Experience with programming languages such as Python, R, and SQL
• Experience with data visualization tools such as Tableau and Power BI
• Experience with data mining and machine learning techniques
Job Responsibilities
• Collect, analyze, and interpret large amounts of data from multiple sources
• Develop algorithms and models to make predictions and decisions
• Communicate findings to stakeholders and other members of the team
• Develop and implement data-driven solutions to business problems
• Monitor and evaluate data-driven solutions
• Stay up to date with the latest trends and technologies in data science
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