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Temporary Data Science R Jobs in Virginia (NOW HIRING)

Top Required Skills 1) MUST have prior hands on experience as a Data Scientist on a project using R/Python etc on Hadoop platform 2) Strong skills in statistical application prototyping with expert ...

Data Science Tutor

Norfolk, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Blacksburg, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Leesburg, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Salem, VA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

... data science roles * Strong proficiency with Python or R and SQL * Experience with statistical ... analysis, modeling, or machine learning techniques * Strong written and verbal communication skills

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

... data science roles * Strong proficiency with Python or R and SQL * Experience with statistical ... analysis, modeling, or machine learning techniques * Strong written and verbal communication skills

... science or a related field * Strong proficiency in programming languages such as Python or R ... Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)

... science or a related field * Strong proficiency in programming languages such as Python or R ... Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)

... science or a related field * Strong proficiency in programming languages such as Python or R ... Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)

... data science, artificial intelligence or machine learning * Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab * Demonstrated experience with producing analytic insights from large ...

Bachelor's degree in Data Science, Computer Science, Engineering, or related field. A minimum of ... Proficiency with Python (NumPy, Pandas, Scikit-learn, OpenCV), SQL, R, and Git. Experience in ...

New

Proficiency in Python , R , or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy). * Experience with cloud platforms (AWS, Azure, or GCP ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

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Temporary Data Science R information

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often focus on the most impactful variables or tasks to optimize model performance and efficiency.

What jobs can you get knowing R?

Knowing R can qualify you for roles such as data analyst, data scientist, statistical programmer, or research analyst. These jobs involve data manipulation, statistical analysis, and visualization, often requiring familiarity with R packages like ggplot2 or dplyr and sometimes additional skills in SQL or Python.

Will AI replace data scientists in 2050?

As a temporary data science R, AI is expected to augment rather than replace data scientists by automating routine tasks and enhancing data analysis capabilities. Data scientists will continue to be essential for interpreting complex data, developing models, and applying domain expertise, especially as tools like machine learning frameworks evolve. Adaptability and skills in programming, statistics, and AI tools will remain valuable in the future job market.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Continuous learning and adapting to industry trends are key regardless of age.
What are the most commonly searched types of Data Science R jobs in Virginia? The most popular types of Data Science R jobs in Virginia are:
What cities in Virginia are hiring for Temporary Data Science R jobs? Cities in Virginia with the most Temporary Data Science R job openings:
Data Science Analyst

Data Science Analyst

3B Staffing LLC

Richmond, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Top Required Skills
1) MUST have prior hands on experience as a Data Scientist on a project using R/Python etc on Hadoop platform
2) Strong skills in statistical application prototyping with expert knowledge in R and/or Python development
3) MUST have previously worked on lead a project that handled and designed machine learning projects to address business problems determined by consultation with business partners.
4) MUST have extensive experience in Predictive Modeling and Machine Learning: Classification, Regression & Clustering
5) MUST have understanding and experience working on Big Data Ecosystems is preferred : Hadoop, HDFS, Hive, Sqoop, Spark: pySpark, SparkR, SparkSQL, Jupyter & Zeppelin notebooks
6) Should be ablet to work on a variety of datasets, including both structured and unstructured data.
• What soft skill requirements do you have (team fit and personality requirements)?
o Strong communication skills both verbal and written
o Ability to lead, collaborate, or work effectively in a variety of teams, including multi-disciplinary teams
Nice to Have Skills:
• Understanding and/or Experience with data engineering is a plus
• Experience with cloud technologies(AWS, Azure, GCP, Snowflake) is big plus
High Level Project Overview:
• In this advanced level role, the Senior Data Science Analyst works independently on the most complex programs. Researches and applies knowledge from existing and emerging data science principles, theories and practices to identify and solve complex analytic problems using established procedures, tools and platforms. Conducts requirements gathering and design sessions and defines and documents the scope and objectives for the business use case/solution. Performs detailed analysis and feature engineering on data. Works at a high technical level in all phases of data analysis, design, development and support of analytic solutions including design and development of data structures, data integration processes and user interfaces to illustrate the analytical insights. Guides and/or leads less experienced Data Science Analysts analytic projects, as needed. Delivers oral briefs, presentations and insights from analysis performed or solutions developed. Tests, compares and validates the results from Machine Learning models before implementing the solution. Works company-wide, in multi-platform environments, on multiple project assignments.
Required Years of Experience:
• MUST have 5+ years of experience in Data Science using R/Python etc. on Hadoop platform
Education:
• Education: Bachelors or higher required
• Discipline: Computer Science, Information Systems, Mathematics
Are there any specific companies/industries youd like to see in the candidates experience?
• High Preference for candidates that have prevoiusly worked with a large scale commercial utilites team but will review candidates who have a background with large scale capital projects for companies
Preferred Interview Process Overview (High level):
• Teams - Camera On