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Entry Level Data Scientist Machine Learning Jobs in California

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... Use data mining and machine learning techniques to develop robust models in areas such as ...

Responsibilities : • Unlock the secrets held by a data set and explore the possibilities of IoT, machine learning, and artificial intelligence. • Use analytical skills and data science knowledge ...

Qualifications for Data Scientist Strong problem solving skills with an emphasis on product ... Knowledge of a variety of machine learning techniques (clustering, decision tree learning ...

Data Scientist, Junior The Opportunity: As a data scientist, you're excited at the prospect of ... Knowledge of machine learning, AI, or Natural Language Processing (NLP) * Knowledge of text mining ...

OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. - Knowledge of machine learning, information retrieval, data mining, statistics ...

Junior Data Scientist

San Diego, CA · On-site

$61K - $141K/yr

R0243527 Data Scientist, Junior The Opportunity: As a data scientist, you're excited at the ... Knowledge of machine learning, AI, or Natural Language Processing (NLP) * Knowledge of text mining ...

Data Scientist Location: San Mateo, CA Contract: 6 Months Need 4 years + work experience with ... Heavy deep learning AND Machine Learning AND Algorithm experience Additional Information All your ...

OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. - Knowledge of machine learning, information retrieval, data mining, statistics ...

Title and Summary Data Scientist Overview: Are you passionate about building scalable, high ... Develop, validate, and deploy machine learning models for business use cases Perform exploratory ...

Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ...

Mid Data Scientist

San Diego, CA · On-site

$61K - $141K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ...

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Entry Level Data Scientist Machine Learning information

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist in Machine Learning, and why are they important?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are entry level data scientist machine learning jobs?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry-level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.
What are the most commonly searched types of Data Scientist Machine Learning jobs in California? The most popular types of Data Scientist Machine Learning jobs in California are:
What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in California? For Entry Level Data Scientist Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Machine Learning jobs in California look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs in California are:
What cities in California are hiring for Entry Level Data Scientist Machine Learning jobs? Cities in California with the most Entry Level Data Scientist Machine Learning job openings:
Infographic showing various Entry Level Data Scientist Machine Learning job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

PROPRIUS

Sunnyvale, CA

$130K - $160K/yr

Full-time

Posted 8 hours ago


Job description

Data Scientist

Location: Sunnyvale, CA

Sponsorship: Yes

Relocation: Yes

Industry: eCommerce

Are you an experienced Data Scientist with 2+ years’ experience who likes solving complex problems? Do you want to work for a rapidly-expanding technology division within a top Fortune 500 company that is driven by Data Science? Would you like to be part of a high caliber team who have access to huge volumes of real-time data?

An exciting, top Fortune 500 company in Sunnyvale is looking for a talented Data Scientists to join their growing team. This is a fantastic opportunity to join a vibrant company and work as part of a diverse and talented Data Science team.

As a Data Responsibilities will include:

  • Perform hands-on data exploration and modeling work on massive data sets.
  • Use data mining and machine learning techniques to develop robust models in areas such as segmentation and profiling, churn assessment, customer loyalty prediction, retention analysis, and product recommendation.
  • Pull data from warehouse, back-test models, perform feature engineering, compare model performances and communicate the results.
  • Architect, develop, and maintain data analytics platforms that visualize data and drive business insights that can be translated into product strategies and marketing decisions.
  • Research state of the art modeling techniques and implement them.

For this role you will need:

  • Technical expertise in data mining, machine learning, NLP, Information Retrieval, and statistical analysis.
  • Proficient in machine learning and data mining packages in R, Python, or Weka.
  • Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark).
  • Expertise with shell scripting and automation.
  • Capabilities of managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.
  • Experience with reporting tools such as Tableau and D3.js.
  • PhD in Computer Science, Statistics or related field; OR a Master’s degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience.
  • Ability to work independently in a fast-paced, iterative development environment.
  • Exemplary communication skills, ability to work with large cross functional teams of technical and non-technical members.

Preferred Qualifications

  • Programming skills in one of the following languages: Java, Scala, C/C++ preferably on a UNIX or Linux platform.
  • Experience with ETL and Data-Warehouse.
  • Prior experience in eCommerce or Online Retail.

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