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Entry Level Data Science Analytics Jobs (NOW HIRING)

Coursework related and/or prior internship related to data science/analytics * Working knowledge of statistical modeling * Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal ...

Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science-driven solutions in support of assessments, gap analyses, and actionable ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... Data Scientist Develop and communicate a deep understanding of client needs, perform analytical ...

Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science-driven solutions in support of assessments, gap analyses, and actionable ...

The Data Science Analyst assists in the preparation, design and execution of models and data ... The position participates as a member of the analytics team identifying and analyzing school data ...

Coursework related and/or prior internship related to data science/analytics * Working knowledge of statistical modeling * Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal ...

Core Data Science & Analytics Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in ...

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

They are seeking an Entry Level Data Scientist who will collaborate with clients to prepare and ... and analytics workflows to extend client use cases beyond data prep. • Support end-to-end ...

Qualifications Minimum Requirements Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics ...

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Entry Level Data Science Analytics information

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How much do entry level data science analytics jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for entry level data science analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Data Science Analytics jobs? The most popular types of Data Science Analytics jobs are:
Senior Data Scientist

Senior Data Scientist

Satsyil Corporation

Alexandria, VA • On-site

Contractor

Posted 21 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.