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Entry Level Data Scientist Jobs in California

Data Scientist (Entry Level) - Us
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Los Angeles, CA, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
Data Scientist (Entry Level)- Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Los Angeles, CA, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
Data Scientist (Entry Level)
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Los Angeles, CA, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
Data Scientist (Entry Level) - Us/Canada
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Los Angeles, CA, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
Data Scientist, Mid Level
By Universal Tennis At Palo Alto, CA, United States
Strong programming skills in languages such as Python or R, with experience using relevant libraries (e.g., pandas, scikit-learn)
Proven experience (2+ years) working as a Data Scientist, solving real-world problems using data-driven approaches
Experience with cloud platforms (e.g., AWS, Azure)
Experience with machine learning techniques including classification, regression, clustering
Excellent problem-solving skills and ability to work in a collaborative, cross-functional environment
Effective communication skills to convey technical findings to both technical and non-technical audiences
Data Scientist, Sponsored Products (Level 5), Sp Market Intelligence
By Amazon At Santa Monica, CA, United States
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
2+ years of data scientist experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Data Scientist (Entry Level) - Us/Canada
By Patterned Learning AI At San Francisco, CA, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
Data Scientist (Entry Level)
By Patterned Learning AI At San Francisco, CA, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Minimum 1 year of work experience - Remote (US/Canada residing people only, with work permit)
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
Data Scientist (Entry Level)- Us/Canada
By Patterned Learning AI At San Francisco, CA, United States
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Collaborate with stakeholders to prioritize projects and define requirements.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to work independently and manage multiple projects simultaneously.
1 year Experience with Databricks or PySpark
Data Scientist (Entry-Level ) Jobs
By Patterned Learning AI At San Francisco, CA, United States
Experience with big data tools/platforms such as Hadoop, Spark, Kafka, Hive, etc.
REMOTE (US/Canada Residing people only, with work permit)
Special Benefits You Will Love
Must be self-motivated, results-driven, team player able to work with minimum supervision
Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks, Naive Bayes, SVM, Decision Forests
Proven ability in data wrangling, modeling, visualization, machine learning, and project leadership
Data Scientist (Entry Level )-Us/Canada
By Patterned Learning AI At San Francisco, CA, United States
Experience with big data tools/platforms such as Hadoop, Spark, Kafka, Hive, etc.
REMOTE (US/Canada Residing people only, with work permit)
Special Benefits You Will Love
Must be self-motivated, results-driven, team player able to work with minimum supervision
Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks, Naive Bayes, SVM, Decision Forests
Proven ability in data wrangling, modeling, visualization, machine learning, and project leadership
Mid-Level Data Scientist-Us/Canada
By Patterned Learning AI At San Francisco, CA, United States
Experience with big data tools/platforms such as Hadoop, Spark, Kafka, Hive, etc.
REMOTE (US/Canada Residing people only, with work permit)
Special Benefits You Will Love
Must be self-motivated, results-driven, team player able to work with minimum supervision
Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks, Naive Bayes, SVM, Decision Forests
Proven ability in data wrangling, modeling, visualization, machine learning, and project leadership
Data Scientist (Entry Level )-Us
By Patterned Learning AI At San Francisco, CA, United States
Experience with big data tools/platforms such as Hadoop, Spark, Kafka, Hive, etc.
100% REMOTE (US/Canada Residing people only, with work permit)
Special Benefits You Will Love
Must be self-motivated, results-driven, team player able to work with minimum supervision
Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks, Naive Bayes, SVM, Decision Forests
Proven ability in data wrangling, modeling, visualization, machine learning, and project leadership
Entry Level Protein Scientist
By Proclinical Staffing At San Francisco, CA, United States
Record and manage multiple data sets in electronic notebooks, internal data base and excel files
0-3 years of lab experience
Experience with protein purification is preferred (for example, AKTA system operation).
Experience with analytical assays is preferred, such as HPLC and UV-vis
Provide hands-on support for purification development
Execute routine purification development operations from harvest to UF/DF operations following established batch records and SOPs
Data Scientist (Entry Level )
By Patterned Learning AI At San Francisco, CA, United States
Experience in machine learning, data science or similar roles
Experience with version control systems, collaborative coding frameworks and scalable engineering tools such as Docker
Experience building functional prototypes and/or products in Python
Knowledge of human physiology and bioelectric or optical sensing techniques is a nice bonus
Collaborative approach with strong written and verbal communication skills
Efficient, creative and able to manage multiple projects concurrently

Are you looking for an exciting opportunity to use your data science skills to make an impact? We are looking for an Entry Level Data Scientist to join our team and help us unlock the power of data to drive our business forward. You will be responsible for developing and deploying data-driven solutions to solve complex business problems. If you are passionate about data and have the skills to turn data into insights, this is the perfect job for you!

Job Description of Entry Level Data Scientist The Entry Level Data Scientist is responsible for developing and implementing data-driven solutions to complex business problems. They will be responsible for gathering, analyzing, and interpreting data from multiple sources, and developing models and algorithms to identify patterns and trends in the data. The Data Scientist will also be responsible for creating visualizations and reports to communicate their findings to stakeholders.

What is Entry Level Data Scientist Skills Required?

• Proficiency in programming languages such as Python, R, and SQL
• Experience with data analysis and data mining techniques
• Strong knowledge of statistics and machine learning algorithms
• Ability to work with large datasets
• Excellent communication and presentation skills
• Ability to work independently and as part of a team

What is Entry Level Data Scientist Qualifications?

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field
• 1-3 years of experience in data analysis, data mining, or related field
• Experience with data visualization tools such as Tableau or Power BI

What is Entry Level Data Scientist Knowledge?

• Knowledge of database systems such as Oracle, MySQL, and MongoDB
• Knowledge of big data technologies such as Hadoop and Spark
• Knowledge of cloud computing platforms such as AWS and Azure

What is Entry Level Data Scientist Experience?

• Experience working with large datasets
• Experience with data wrangling and cleaning
• Experience with data modeling and machine learning

What is Entry Level Data Scientist Responsibilities?

• Gather, analyze, and interpret data from multiple sources
• Develop models and algorithms to identify patterns and trends in the data
• Create visualizations and reports to communicate findings to stakeholders
• Develop data-driven solutions to complex business problems
• Collaborate with other teams to ensure data accuracy and integrity