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No Experience Python Pandas Jobs in Virginia (NOW HIRING)

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

... experience and expertise in the following: * Programming languages such as Python(inclusive of libraries that are used in data science e.g. numpty, pandas, and scipy); R; Julia (dynamic programming ...

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No Experience Python Pandas information

What is the difference between No Experience Python Pandas vs Data Analyst?

AspectNo Experience Python PandasData Analyst
Required SkillsBasic Python, Pandas, ExcelData visualization, SQL, Excel, Python/Pandas
Experience LevelEntry-level, no prior experience neededEntry to mid-level, some experience preferred
Work EnvironmentData projects, scripting, analysisReporting, data interpretation, presentations
Industry UsageData processing, automation, analysisBusiness insights, reporting, decision-making

While No Experience Python Pandas focuses on entry-level skills in Python and data manipulation, Data Analyst roles often require broader analytical skills, including data visualization and reporting. Both roles are common in data-driven industries, but Data Analysts typically have more experience and a wider skill set.

What are the most commonly searched types of Python Pandas jobs in Virginia?

The most popular types of Python Pandas jobs in Virginia are:

What cities in Virginia are hiring for No Experience Python Pandas jobs?

Cities in Virginia with the most No Experience Python Pandas job openings:

Senior Data Scientist

Satsyil Corporation

Alexandria, VA • On-site

Contractor

Re-posted 15 days ago


Job description

Company Description
Satsyil is not a typical software solution company. Talented, hardworking, practiced professionals and principled people who are passionate about customers and software, brought together because they want to provide very affordable, simple and amazing solutions.
Job Description
Looking for Candidates with the following skills in priority order, also we are expecting the person to do both development and data science analytics work, most likely 50% development and 50% data science work:
  1. http
  2. elastic search
  3. Apache zeppelin
  4. data science

Responsibilities
  • Selecting features, building and optimizing classifiers using machine learning techniques.
  • Ability to work with Hadoop/Hive/HDFS/Spark environments to be able to experiment and write the scalable programs.
  • Ability to work with structured and unstructured datasets.
  • Ability to work with large datasets.
  • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Doing ad-hoc analysis and presenting results in a clear manner.
  • Creating automated anomaly detection systems and constant tracking of its performance.

Qualifications
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Strong mathematical academic background.
  • Experience with common data science tool-kits, such as NumPy, SciPy, NLTK, matplotlib, pandas, xlrd.
  • Experience with data visualization tools like Kibana/Grafana.
  • Experience in using Zeppelin type of tools for quick scripting.
  • Proficiency in using query languages such as Hive.
  • Extensive experience in using HDFS/HIVE/Spark environments.
  • Experience with NoSQL databases.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills (Python, Java - especially using Spark).
  • Data-oriented personality.

Additional Information
All your information will be kept confidential according to EEO guidelines.