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Remote Python Data Analysis Jobs in Lafayette, CA

... data analyses, modeling, visualization and communication of results. * Knowledge of Python ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

... Python, etc.) - Experience with product and marketing analytics and digital optimization tools ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Sr. Data Analyst

San Francisco, CA · On-site +1

$90K - $130K/yr

... Python, etc.) - Experience with product and marketing analytics and digital optimization tools ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Google BigQuery or analytics platforms - writing analytical queries, working with GA4 event data ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Google BigQuery or analytics platforms - writing analytical queries, working with GA4 event data ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Data Analyst

Foster City, CA · Remote

$85K - $100K/yr

Experience in R or Python is required * Experience with Tableau or other related Business ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Senior Data Analyst

San Francisco, CA · Remote

$101K - $127K/yr

United States (Remote) -- must be U.S.-based Type: Full-time -- Early team, high ownership Data ... Advanced SQL, Metabase, Amplitude, Segment, dbt (preferred), Python (optional) Why This Role Exists ...

Senior Data Engineer

San Francisco, CA · Remote

$124K - $169K/yr

Design and develop Power BI dashboards for data analysis and business reporting. * Creating Python ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

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Remote Python Data Analysis information

See Lafayette, CA salary details

$15

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$99

How much do remote python data analysis jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote python data analysis in Lafayette, CA is $67.78, according to ZipRecruiter salary data. Most workers in this role earn between $55.87 and $76.97 per hour, depending on experience, location, and employer.
What job categories do people searching Remote Python Data Analysis jobs in Lafayette, CA look for? The top searched job categories for Remote Python Data Analysis jobs in Lafayette, CA are:
What cities near Lafayette, CA are hiring for Remote Python Data Analysis jobs? Cities near Lafayette, CA with the most Remote Python Data Analysis job openings:
Data Science

Full-time

Re-posted 20 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