Data Scientist 2 jobs in United States
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Avid Technology Professionals · 10 hours ago

Data Scientist 2

Avid Technology Professionals is seeking a Data Scientist 2 to join their team. The role involves utilizing programming languages, statistical analysis, and machine learning to manipulate and analyze data effectively.

Information TechnologySoftware
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Comp. & Benefits
badNo H1BnoteSecurity Clearance Requirednote

Responsibilities

Programming Languages: Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization
Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential
Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes
Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis
Database Management: Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases
Data Visualization: Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders

Qualification

PythonRMachine LearningStatistical AnalysisData WranglingSQLData VisualizationPostgreSQLMongoDBTensorFlowScikit-LearnTableauMatplotlib

Required

This position requires in-scope poly, within 7 years
Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms
A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions
Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes
The ability to clean and organize complex datasets is critical
Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases
Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively
Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
Five (5) years of experience analyzing datasets and developing analytics
Five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree
A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience

Company

Avid Technology Professionals

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ATP is a successful and growing team of exceptional IT professionals. Good pay. Great benefits. Empowering employees.

Funding

Current Stage
Growth Stage
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