Data Scientist 2
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Job Location:
Howard County, MD - USA
Monthly Salary:
Not Disclosed
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
This position requires in-scope poly within 7 years.
- 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.
Bachelors 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 Bachelors degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience.
- 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.
Bachelors 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 Bachelors degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Avid Tec is dedicated to providing innovative solutions to software and network challenges through engineering, integration, and program management.
