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Senior Remote Data Science Jobs in California (NOW HIRING)

Apogee Global RMS

Senior Data Scientist

San Jose, CA · On-site +1

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Fanatics, Inc.

Senior Data Scientist

San Mateo, CA · On-site +1

$170K - $210K/yr

Work on data science projects across marketing and customer domains, including personalization ... Mondays and Fridays remote. * Ability to travel up to 10% of the time for partner meetings, events ...

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Corvel

Data Science Manager

Irvine, CA · On-site +1

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ... For leveled roles (I, II, III, Senior, Lead, etc.) new hires may be slotted into a different level ...

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Strong foundation in Machine Learning, Statistics, and Applied Data Science. * Experience with ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

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Senior Remote Data Science information

Is 40 too late for data science?

Age is not a barrier to becoming a senior remote data scientist, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant certifications, programming skills, and domain knowledge, making age less relevant than technical competence and adaptability.

What is the 80 20 rule in data science?

In data science, the 80/20 rule suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is the difference between Senior Remote Data Science vs Data Analyst?

AspectSenior Remote Data ScienceData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with programming languages like Python or RBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often involved in complex modeling and predictive analyticsRemote or on-site, focused on data reporting, cleaning, and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Senior Remote Data Science roles typically require advanced technical skills and involve complex modeling, whereas Data Analysts focus on data reporting and visualization. Both roles can be remote and are used across various industries, but Data Analysts generally have less emphasis on machine learning and predictive modeling.

Can a data scientist work fully remote?

Yes, many data scientist roles are fully remote, especially in companies that prioritize flexible work arrangements. Remote work for data scientists often requires strong communication skills, proficiency with collaboration tools, and the ability to work independently while managing data analysis, modeling, and reporting tasks remotely.

How to make $100,000 a year working from home?

A senior remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
What are the most commonly searched types of Senior Data Science jobs in California? The most popular types of Senior Data Science jobs in California are:
What are popular job titles related to Senior Remote Data Science jobs in California? For Senior Remote Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Remote Data Science jobs in California look for? The top searched job categories for Senior Remote Data Science jobs in California are:
What cities in California are hiring for Senior Remote Data Science jobs? Cities in California with the most Senior Remote Data Science job openings:
Senior Remote Data Science jobs near you
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Posted 8 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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