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Hourly Python Data Science Jobs in California (NOW HIRING)

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends ... Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Tatari

Data Science Analyst

San Francisco, CA

$70K - $85K/yr

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends ... Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Tatari

Data Science Analyst

Los Angeles, CA

$70K - $85K/yr

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends ... Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Brigit

Director of Data Science

San Francisco, CA · On-site

$225K - $250K/yr

Mentoring and guiding team members as they build out quantitative models in python using industry-standard techniques. * Evangelizing the data science team's capabilities and integrating with product ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience in Python, SQL, R, Pandas, Scikit-Learn, other ML frameworks as appropriate.

Tapestry

Data Science Manager

Mountain View, CA · On-site

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience in Python, SQL, R, Pandas, Scikit-Learn, other ML frameworks as appropriate.

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Broad experience with Python programming and software development. * Comprehensive experience applying machine learning, deep learning, or data science methods to real-world problems.

CookUnity

Director, Data Science/ML

Los Angeles, CA

Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch ... Experience building data science teams from scratch or through periods of rapid growth * Prior work ...

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Hourly Python Data Science information

What is the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What is an hourly Python data science job?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What are some common challenges faced by hourly Python data science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What are the key skills and qualifications needed to thrive as an hourly Python data science professional?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.
What cities in California are hiring for Hourly Python Data Science jobs? Cities in California with the most Hourly Python Data Science job openings:
Hourly Python Data Science jobs near you

Data Science Analyst

Tatari

Los Angeles, CA • On-site

$70K - $85K/yr

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago

Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.
We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality, scalable and automated solutions for a varied set of challenging data problems. Under the guidance of our Senior Data Scientists and Senior Data Science Analysts, you will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up, and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology teams to provide profound insights from your analysis, and optimize our business, with the ultimate goal of helping Tatari redefine the TV ad buying experience.
Responsibilities:
  • Automate data-driven tasks; design processes that require zero intervention
  • Work cross-functionally within the organization to deliver integrated business solutions
  • Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance
  • Use best-in-class tools like Databricks, and Tableau to empower insightful analysis for advertising partners

Qualifications:
  • Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required
  • 1-2 years of academic and/or professional experience in Data Manipulation Software (e.g., SQL, Python, Pandas)
  • Demonstrated abilities to manipulate, analyze, and interpret large amounts of data and to organize findings and translate them into actionable insights using original or innovative techniques
  • Extremely organized with great attention to detail
  • Excellent ability to analyze information and think systematically
  • Works well independently and as part of a team
  • Ability to handle databases and understand technology-driven business tools
  • A sense of curiosity and desire to learn!

Benefits:
  • Total compensation ($70,000 - $85,000)
  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • $150 monthly spending account
  • $1,000 annual continued education benefit
  • $500 Newbie Productivity Perk
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches at the office
  • Team building events
  • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
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