Remote Associate Data Scientist

Lensa; Great Falls (VA); Remote; USD 90,000 - 130,000; Full time

Job summary

A leading career platform is seeking an Associate Data Scientist to analyze and interpret complex data to identify business trends. In this entry-level role, you will design and implement data models, and support various business solutions while working under the guidance of senior professionals. Join a dynamic and inclusive team committed to leveraging data for impactful decision-making.

Qualifications

• Entry-level position focusing on data analysis and modeling.
• Familiarity with machine learning frameworks like TensorFlow and PyTorch is helpful.
• Knowledge of data visualization tools such as Tableau and Power BI is preferred.

Responsibilities

• Identify business trends and problems through data analysis.
• Design and implement business solutions and data models.
• Support projects and tasks under close supervision.

Skills

Data Manipulation

Data Visualization

Machine Learning Algorithms

Education

Degree in a related field

Tools

Python

SQL

Tableau

Power BI

TensorFlow

PyTorch

Jupyter Notebook

Job description

Lensa is the leading career site for job seekers at every stage of their career. Our client, Insight Global, is seeking professionals. Apply via Lensa today!

Job Description

The Associate Data Scientist identifies business trends and problems through complex data analysis and interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Designs, develops, and implements the most valuable business solutions for the organization, prepares data for ingestion and consumption, implements data models, develops databases to support business solutions, gains exposure to complex tasks within the job function, reports to a manager, works under close management on projects/matters of limited complexity in a support role.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Skills And Requirements

Python or similar tools, used for:

oData Manipulation and Analysis for handling and cleaning large datasets, performing mathematical operations, and exploring data distributions.

oVisualization, including line charts, scatter plots, histograms, and heatmaps, to uncover patterns and trends.

oMachine Learning Algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.

SQL, Used For

oData Retrieval: SQL is used to extract specific data from databases based on predefined criteria, enabling analysts to answer questions and gain insights.

oData Manipulation: SQL can be used to update, insert, or delete data within databases, ensuring data accuracy and consistency.

oDatabase Management: SQL is essential for creating, managing, and optimizing database structures, ensuring efficient data storage and retrieval.

Tableau or Power BI or similar tools, used for:

oData Visualization: These tools enable the creation of interactive dashboards and reports that present data in a visually appealing and understandable manner.

oData Storytelling: By combining data visualization with narrative elements, these tools help communicate insights effectively to stakeholders.

oData Exploration: Users can explore data interactively, drilling down into details or zooming out to see the big picture. Machine Learning Frameworks, used for:

oModel Development: TensorFlow and PyTorch provide the necessary tools and infrastructure for building and training machine learning models, including deep neural networks.

oDeployment: These frameworks can be used to deploy models into production environments, allowing them to make predictions on new data.

oExperimentation: Machine learning frameworks support experimentation with different algorithms, hyperparameters, and architectures to optimize model performance.

Jupyter Notebook or similar tools, used for

oData Exploration: Jupyter Notebook provides a flexible environment for combining code, text, and visualizations, making it ideal for exploring data and experimenting with different approaches.

oReproducibility: Notebooks can be shared and executed by others, ensuring reproducibility of results and facilitating collaboration.

oEducation and Training: Jupyter Notebooks are commonly used for teaching and learning data science concepts, as they allow for interactive experimentation and exploration. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at Lensa by 2x

Get notified about new Data Scientist jobs in Great Falls, VA.

Arlington, VA $140,000.00-$160,000.00 2 months ago

Chantilly, VA $140,000.00-$160,000.00 2 months ago

Silver Spring, MD $109,600.00-$127,406.00 1 day ago

Geospatial Scientist, Data Collection and Quality

Senior Public Sector Research Scientist, Machine Learning

Data Scientist (Secret Clearance required)

Washington DC-Baltimore Area $180,000.00-$220,000.00 5 days ago

AI Research Scientist: AEC. Remote US or Canada

Washington, DC $200,000.00-$265,000.00 1 day ago

Artificial Intelligence (AI) Engineer - Backend focus

Washington DC-Baltimore Area $220,000.00-$230,000.00 2 weeks ago

College Park, MD $90.00-$105.00 2 months ago

Washington DC-Baltimore Area $184,000.00-$250,000.00 5 days ago

Senior Machine Learning Engineer, AI (FULLY REMOTE-USA)

Applied Scientist (FULLY REMOTE in Bay Area, NYC, Seattle)

Applied Scientist (FULLY REMOTE in Seattle, NYC or Bay Area)

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.