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Remote Data Science Junior Jobs in California (NOW HIRING)

Landpoint

Remote Data Analyst

Fremont, CA · Remote

They work in many industries, including business, finance, science, medicine, and government To excel as a remote data analyst, professionals must possess a combination of technical skills, soft ...

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ... Remote-based with potential for hybrid work arrangements. * Full-time position with standard ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Scopely

Associate Data Scientist

Sunnyvale, CA · On-site +1

$174K - $202K/yr

May lead or supervise junior team members. Partial telecommuting permitted. Req: 00100718 Minimum requirements: Master's degree or foreign equivalent in Computer Science, Data Analytics Engineering ...

The Voleon Group

Data Scientist, Technical Lead

Berkeley, CA · On-site +1

$210K - $260K/yr

As a Technical Lead - Data Science, you will provide technical direction and management fora team ... Mentor and manage junior and mid-level data scientists; provide architectural oversight for data ...

finalis

Lead Data Scientist

San Francisco, CA · On-site +1

Finalis is a high-growth, VC-backed, fully remote startup using AI to build the future of private ... You will also mentor our data science team. Led by your efforts, the data team will deliver high ...

eBay

Data Science - Analyst 4

San Jose, CA · On-site +1

$225K - $254K/yr

About the team and the role: eBay, Inc. seeks Data Science - Analyst 4 in San Jose, CA What you ... Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All ...

eBay

Data Science - Analyst 4

San Jose, CA · On-site +1

$149K - $199K/yr

Demonstrated success applying data science, optimization, and AI techniques to drive measurable ... Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All ...

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Remote Data Science Junior information

What are Remote Data Science Junior jobs?

Remote Data Science Junior jobs are entry-level positions in data science that can be performed from any location, often requiring foundational skills in statistics, programming (such as Python or R), and data analysis. Junior data scientists work on tasks like cleaning data, running basic analyses, and supporting more senior data scientists on projects. These roles are ideal for recent graduates or those new to the field who want to gain practical experience while working remotely. Remote positions typically require strong communication skills and the ability to collaborate effectively in a virtual environment.

How do Remote Data Science Juniors typically collaborate with their team and receive mentorship while working remotely?

As a Remote Data Science Junior, collaboration and mentorship are often facilitated through regular video meetings, code reviews, and chat platforms like Slack or Microsoft Teams. You’ll likely participate in daily stand-ups, project planning sessions, and pair programming to stay connected with your team. Many organizations also assign mentors or buddy systems to support junior professionals, offering guidance on technical questions and professional development. Proactive communication and willingness to ask questions are key to thriving in a remote environment.

What are the key skills and qualifications needed to thrive as a Remote Data Science Junior, and why are they important?

To thrive as a Remote Data Science Junior, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, often supported by a relevant degree or coursework. Familiarity with tools like Jupyter Notebooks, SQL databases, and data visualization platforms such as Tableau is typically required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and independent work. These skills are crucial for efficiently analyzing data, deriving actionable insights, and contributing to team goals from a remote setting.
What are the most commonly searched types of Remote Data Science jobs in California? The most popular types of Remote Data Science jobs in California are:
What are popular job titles related to Remote Data Science Junior jobs in California? For Remote Data Science Junior jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Junior jobs in California look for? The top searched job categories for Remote Data Science Junior jobs in California are:
What cities in California are hiring for Remote Data Science Junior jobs? Cities in California with the most Remote Data Science Junior job openings:
Remote Data Science Junior jobs near you
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Posted 7 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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