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Python Pandas Remote Jobs in Santa Clara, CA (NOW HIRING)

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA · On-site +1

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data ... of experience in Python -- Pandas, PySpark, scikit-learn, Azure ML or Azure ecosystem and ...

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of ... Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark) Data Infrastructure ...

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 ... Expertise in Python and packages such as numpy, pandas, scikit-learn * Experience with a deep ...

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow ...

Sustainable Talent

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow ...

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow ...

Sustainable Talent

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow ...

Apex Systems

Data Analyst

Pleasanton, CA · Remote

Location: Fully remote anywhere in the Unted States. Employment Type: 6-month contract with ... Experience with Python for analysis and visualization (e.g., pandas, matplotlib) is also necessary.

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How much do python pandas remote jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for python pandas remote in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Pandas Remote Data Analyst, and why are they important?

To excel as a remote Python Pandas Data Analyst, you need strong proficiency in Python programming, advanced data manipulation skills with Pandas, and a solid understanding of statistics or data science principles, often backed by a relevant degree. Familiarity with tools like Jupyter Notebook, Git, SQL databases, and cloud data platforms is typically expected, along with certifications in data analysis or Python programming being advantageous. Excellent problem-solving, communication, and self-management skills help remote analysts collaborate effectively and deliver insights independently. These skills are vital for extracting and communicating actionable data insights while maintaining productivity and reliability in a remote work environment.

What are some common challenges faced by remote Python Pandas developers and how can they be addressed?

Remote Python Pandas developers often encounter challenges such as collaborating effectively with distributed teams, managing large datasets with limited local resources, and ensuring version control of data and code. To address these, it's helpful to establish clear communication channels (like Slack or Teams), utilize cloud-based data storage and computing platforms, and adopt collaborative tools like Git for code management. Regular virtual check-ins and thorough documentation also help maintain alignment and productivity in a remote setting.

What is the difference between Python Pandas Remote vs Data Analyst?

AspectPython Pandas RemoteData Analyst
Required SkillsPython, Pandas, SQL, data manipulationExcel, SQL, data visualization, basic programming
Work EnvironmentRemote, tech-focused companiesOffice or remote, various industries
CertificationsPython certifications, data analysis coursesData analysis, Excel, Tableau certifications
Industry UsageTech, finance, e-commerceFinance, marketing, healthcare

Python Pandas Remote roles focus on data manipulation using Python and Pandas, often in tech-driven environments. Data Analysts may use a broader set of tools like Excel and visualization software, working across various industries. While both roles involve data handling, Python Pandas Remote positions emphasize programming skills, whereas Data Analysts focus on interpreting data for business insights.

What are Python Pandas Remote jobs?

Python Pandas Remote jobs are positions that require expertise in the Pandas library, a powerful data analysis tool in Python, and allow employees to work from any location outside of a traditional office environment. These jobs often involve data cleaning, manipulation, and analysis tasks, with responsibilities ranging from building data pipelines to generating insights from large datasets. Remote Pandas roles are common in industries like finance, healthcare, technology, and research, where data-driven decisions are essential. They typically require strong programming skills, problem-solving ability, and experience with distributed team collaboration tools.
What are popular job titles related to Python Pandas Remote jobs in Santa Clara, CA? For Python Pandas Remote jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Python Pandas Remote jobs in Santa Clara, CA look for? The top searched job categories for Python Pandas Remote jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Python Pandas Remote jobs? Cities near Santa Clara, CA with the most Python Pandas Remote job openings:
Python Pandas Remote jobs near you
Data Scientist

Data Scientist

Tanisha Systems, Inc.

Santa Clara, CA • On-site, Remote

Other

Posted 29 days ago

Job description

Data Scientist
Salary – Market (DOE)
REMOTE / Work From Home
Full-Time / Direct-Hire
As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for Client portfolios on Databricks (Azure). Work closely with commercial, supply chain, and engineering teams to build ML solutions that improve forecast accuracy, reduce inventory waste, and support revenue growth. Bring deep ML expertise, strong Python engineering skills, and a nuanced understanding of Client market dynamics — and you are comfortable translating complex model outputs into clear business recommendations.
Skills / Experience
  • 8+ years in data science or Applied ML roles; 3+ years of experience in Databricks in production
  • 5+ years of experience in Python — Pandas, PySpark, scikit-learn, Azure ML or Azure ecosystem and Databricks experience in production
  • 5+ years of experience in Supervised, unsupervised Machine Learning (ML) algorithms, forecasting and inventory optimization
  • 5+ years of experience in Deep Learning (DL) algorithms applying to solve forecasting, regression and classification problems
  • 3+ years of experience in building ML models in Client, FMCG, or Retail analytics industry
  • 3+ years of experience in MLflow or equivalent experiment tracking tool
  • Master''s or PhD in Statistics, CS, or related field (preferred)

Secondary Skills / Good to have
  • SQL & Data Engineering Fundamentals - Advanced SQL on Delta Lake / Azure Synapse; ability to build lightweight feature pipelines without full data engineering support
  • MLOps & CI/CD for ML - MLflow, GitHub Actions, or Azure DevOps pipelines to automate model retraining, evaluation gates, and deployment to Databricks Model Serving
  • Data Visualisation & Storytelling - Power BI, Plotly, or Streamlit dashboards to communicate forecast accuracy and business KPIs to non-technical stakeholders
  • Promotional & Trade Analytics - Modelling promotional uplift, baseline vs incremental volume splits, and trade spend ROI — key for Client forecast decomposition
  • Team Leadership & Mentoring - Guide junior data scientists, run code reviews, define modelling standards, and represent the data science function in cross-functional forums

Job / Role Description
  • Lead end-to-end sales forecasting model development — from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure)
  • Design and maintain forecasting pipelines — at SKU, category, and regional hierarchy levels — incorporating POS data, promotional calendars, seasonality indices, and external signals (macroeconomic, weather)
  • Apply Client domain knowledge — to model promotional uplift, new product introduction curves, product cannibalization, and retailer sell-in/sell-out dynamics into ML features and targets
  • Operationalise ML models using MLflow on Databricks — manage the model registry, version control experiments, automate retraining schedules, and configure drift monitoring alerts
  • Collaborate with commercial and supply chain teams — to translate forecast outputs into inventory recommendations, production planning inputs, and revenue growth strategies
  • Define and enforce data science best practices — modelling standards, experiment documentation, code review guidelines, and reproducibility requirements across the team
  • Mentor junior data scientists — conduct code reviews, lead knowledge-sharing sessions, support career development, and build a high-performance data science culture
  • Communicate model insights and forecast accuracy — to senior stakeholders through dashboards, executive briefings, and written reports — making complex model behaviour accessible to business audiences
  • Drive continuous model improvement — benchmark new algorithms, evaluate AutoML approaches, and run controlled experiments to improve MAPE, bias, and coverage metrics
  • Partner with data and platform engineers — to ensure feature pipelines on Azure Data Lake / Delta Lake are reliable, scalable, and aligned with model refresh cadence requirements
  • Communicate effectively with internal and customer stakeholders; Strong interpersonal skills to build and maintain productive relationships with team members
  • Problem-Solving and Analytical Thinking; Capability to troubleshoot and resolve issues efficiently
  • Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
  • Provides regular updates, proactive and due diligent to carry out responsibilities

Expected Outcome / What Success Looks Like
  • Data Scientist is expected to meet customer expectations within accelerated timelines, enabling us to strengthen our capabilities and drive growth in this area
  • Statistical Analysis & Experimentation - A/B testing, causal inference, and hypothesis testing to measure the business impact of model improvements and pricing interventions
  • This role offers the opportunity to lead high-impact data science initiatives that directly shape customer outcomes and gain strong visibility with senior leadership

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