Data Engineer
Apply NowCompany: Takeda
Location: Atlanta, GA 30349
Description:
Perform comprehensive data analysis across six stages of preparation: receipt, produce wash, preparation, storage, assembly, and final storage before service, incorporating stage-specific variables.
Create and implement a scalable data pipeline to process microbial measurement data from lab tables, ensuring data quality through rigorous cleaning, validation, and outlier removal.
Use simulations to assess risks in virus transmission scenarios.
Develop an interactive visualization to display microbial load.
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 opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their 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 or uniformed service member status, 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 HR@insightglobal.com .
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/ .
Required Skills & Experience
1. Data Science and Statistical Analysis:
o Proficiency in regression analysis and statistical modeling.
o Experience with Monte Carlo simulations.
2. Microbiology and Food Safety: - not a must have, but good to know
o Knowledge of microbial growth patterns, particularly for pathogens like Salmonella, E. coli, and Listeria.
o Understanding of food safety protocols and risk assessment.
3. Data Engineering:
o Experience with data pipeline design and implementation.
o Proficiency in using tools like dbt and Databricks for data processing and management.
o Skills in data cleaning, validation, and outlier detection.
4. Machine Learning and Model Deployment:
o Experience with MLflow for model deployment.
o Familiarity with machine learning frameworks and libraries.
5. Data Visualization:
o Ability to create interactive visualizations, preferably with tools like ActiveGraf.
6. Programming and Software Skills:
o Proficiency in programming languages such as Python or R.
o Experience with SQL for database management.
7. Analytical and Problem-Solving Skills:
o Strong analytical skills to interpret complex data.
o Ability to design and conduct in-depth data analysis.
8. Communication and Collaboration:
o Strong communication skills to present findings and collaborate with cross-functional teams.
o Ability to document processes and results clearly.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
Create and implement a scalable data pipeline to process microbial measurement data from lab tables, ensuring data quality through rigorous cleaning, validation, and outlier removal.
Use simulations to assess risks in virus transmission scenarios.
Develop an interactive visualization to display microbial load.
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 opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their 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 or uniformed service member status, 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 HR@insightglobal.com .
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/ .
Required Skills & Experience
1. Data Science and Statistical Analysis:
o Proficiency in regression analysis and statistical modeling.
o Experience with Monte Carlo simulations.
2. Microbiology and Food Safety: - not a must have, but good to know
o Knowledge of microbial growth patterns, particularly for pathogens like Salmonella, E. coli, and Listeria.
o Understanding of food safety protocols and risk assessment.
3. Data Engineering:
o Experience with data pipeline design and implementation.
o Proficiency in using tools like dbt and Databricks for data processing and management.
o Skills in data cleaning, validation, and outlier detection.
4. Machine Learning and Model Deployment:
o Experience with MLflow for model deployment.
o Familiarity with machine learning frameworks and libraries.
5. Data Visualization:
o Ability to create interactive visualizations, preferably with tools like ActiveGraf.
6. Programming and Software Skills:
o Proficiency in programming languages such as Python or R.
o Experience with SQL for database management.
7. Analytical and Problem-Solving Skills:
o Strong analytical skills to interpret complex data.
o Ability to design and conduct in-depth data analysis.
8. Communication and Collaboration:
o Strong communication skills to present findings and collaborate with cross-functional teams.
o Ability to document processes and results clearly.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.