Kuraray America, Inc.
Intermediate Data Scientist
Kuraray America, Inc., Oklahoma City, Oklahoma, United States, 73116
TitleIntermediate Data Scientist
TeamData Services Team
Position Summary:The position involves acquiring, cleaning, and preprocessing data using SQL and Python, followed by a deep analysis of complex datasets to generate actionable business insights. The role requires developing and automating custom reports, creating data visualizations, and scripting for automation tasks. Collaboration with different teams is essential for understanding their needs, communicating findings clearly, and applying technical skills for problem-solving. Ensuring adherence to data governance and privacy policies is also crucial. The successful candidate should be familiar with data science principles, database structures, and data governance and be proficient in Python. They should have strong skills in data wrangling, statistical analysis, report generation, data visualization, and effective communication. They should be capable of analytical thinking, attention to detail, self-learning, team collaboration, creative problem-solving, time management, and resilience.
Duties:
Addresses data analytics challenges, collects large volumes of data from varying sources, cleans and interprets data, creates solutions to overcome challenges, and communicates with interested parties.
Meets with team members regarding projects.
Collects and interprets data.
Automates and integrates processes.
Researches solutions to overcome data analytics challenges.
Develops complex mathematical models that integrate business rules and requirements.
Creates machine learning models.
Communicates and meets with engineers, IT teams, and other interested parties.
Shares complex ideas verbally and visually in an understandable manner with non-technical stakeholders.
Performs other duties as needed to successfully fulfill the functions of the position.
Job RequirementsEducation:Bachelor's degree in related field.
Experience:48 months experience in Data Science, Predictive, or Advanced Analytics or related experience.
Equivalency/Substitution:Will accept 48 months of experience in lieu of the Bachelor's degree for a total of 96 months of related experience.
Skills:
Understanding of Data Science Principles: Familiarity with machine learning techniques, statistical analysis, and predictive modeling.
Data Governance and Privacy Regulations: Knowledge about relevant data governance and privacy laws and policies.
Higher Education Domain Knowledge: Understanding of higher education.
Databases and SQL: Understanding of database structures, principles, and SQL syntax.
Programming Languages: Proficiency in Python and potentially other relevant languages.
Data Visualization Tools: Familiarity with data visualization libraries and tools like Matplotlib, Seaborn, Plotly, or PowerBI.
Candidates should demonstrate a commitment to ethical data science practices, including understanding how to handle sensitive information and protect privacy without compromising the integrity of the data analysis.
Data Wrangling: Ability to acquire, clean, and preprocess data from various sources using SQL, Python, and other tools.
Statistical Analysis: Ability to analyze and interpret complex datasets using various statistical techniques.
Report Generation: Proficiency in developing, generating, and automating custom reports.
Data Visualization: Skill in creating interactive and static visualizations.
Python Scripting: Ability to write scripts for automating data processing and report generation tasks.
Communication: Ability to effectively communicate complex information to technical and non-technical audiences.
Problem Solving: Skill in applying technical expertise and business knowledge to solve complex problems.
Analytical Thinking: Ability to identify patterns and trends in data and make data-driven decisions.
Attention to Detail: Ability to handle data with precision and to spot anomalies and errors.
Self-Learning: Ability to stay updated with the latest technologies, techniques, and best practices in data science.
Team Collaboration: Ability to collaborate effectively with various teams to understand their needs and requirements.
Creativity: Ability to come up with innovative solutions to complex problems.
Time Management: Ability to prioritize tasks and work efficiently to meet deadlines.
Resilience: Ability to handle setbacks and maintain focus on achieving objectives.
Departmental Preferences:
Candidates with a master’s in data science, statistics, computer science, or a related field are preferred.
Preference for candidates with experience in a higher education setting and an understanding of this environment's specific needs and challenges.
Candidates with certifications in Python, SQL, or relevant data visualization tools like Matplotlib, Seaborn, or PowerBI are preferred.
Experience with machine learning techniques, statistical analysis, and predictive modeling is preferred.
We appreciate candidates with a strong record of collaboration and cross-functional team projects.
Candidates with experience with standard data governance processes.
Preference for candidates with proven ability to automate processes and generate custom reports.
Candidates who demonstrate an aptitude for continual learning and keeping up with the latest trends and best practices in data science are highly preferred.
Strong communication skills, especially the ability to convey complex information to technical and non-technical audiences, are highly desirable.
We value creativity, innovative thinking in problem-solving, and resilience in facing challenges.
Candidates with a track record of excellent time management, ability to meet deadlines, and attention to detail are preferred.
Preference for candidates who have actively engaged with ethical considerations in previous projects or roles, such as algorithmic fairness, transparency, and avoiding potential biases in data collection and analysis.
Working Conditions:
Physical:
Sits for prolonged periods of time. Ability to engage in repetitive motion. Manual dexterity. Communicate effectively.
Environmental:
Standard Office Work Environment.
Diversity Statement:The University of Oklahoma is committed to achieving a diverse, equitable, and inclusive university community by recognizing each person's unique contributions, background, and perspectives. The University of Oklahoma strives to cultivate a sense of belonging and emotional support for all, recognizing that fostering an inclusive environment for all is vital in the pursuit of academic and inclusive excellence in all aspects of our institutional mission.
Equal Employment Opportunity Statement:The University of Oklahoma, in compliance with all applicable federal and state laws and regulations, does not discriminate based on race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to, admissions, employment, financial aid, housing, services in educational programs or activities, and health care services that the University operates or provides.
Hiring contingent upon a Background Check?Yes
Special Indications:None
Job Posting:Aug 22, 2023
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TeamData Services Team
Position Summary:The position involves acquiring, cleaning, and preprocessing data using SQL and Python, followed by a deep analysis of complex datasets to generate actionable business insights. The role requires developing and automating custom reports, creating data visualizations, and scripting for automation tasks. Collaboration with different teams is essential for understanding their needs, communicating findings clearly, and applying technical skills for problem-solving. Ensuring adherence to data governance and privacy policies is also crucial. The successful candidate should be familiar with data science principles, database structures, and data governance and be proficient in Python. They should have strong skills in data wrangling, statistical analysis, report generation, data visualization, and effective communication. They should be capable of analytical thinking, attention to detail, self-learning, team collaboration, creative problem-solving, time management, and resilience.
Duties:
Addresses data analytics challenges, collects large volumes of data from varying sources, cleans and interprets data, creates solutions to overcome challenges, and communicates with interested parties.
Meets with team members regarding projects.
Collects and interprets data.
Automates and integrates processes.
Researches solutions to overcome data analytics challenges.
Develops complex mathematical models that integrate business rules and requirements.
Creates machine learning models.
Communicates and meets with engineers, IT teams, and other interested parties.
Shares complex ideas verbally and visually in an understandable manner with non-technical stakeholders.
Performs other duties as needed to successfully fulfill the functions of the position.
Job RequirementsEducation:Bachelor's degree in related field.
Experience:48 months experience in Data Science, Predictive, or Advanced Analytics or related experience.
Equivalency/Substitution:Will accept 48 months of experience in lieu of the Bachelor's degree for a total of 96 months of related experience.
Skills:
Understanding of Data Science Principles: Familiarity with machine learning techniques, statistical analysis, and predictive modeling.
Data Governance and Privacy Regulations: Knowledge about relevant data governance and privacy laws and policies.
Higher Education Domain Knowledge: Understanding of higher education.
Databases and SQL: Understanding of database structures, principles, and SQL syntax.
Programming Languages: Proficiency in Python and potentially other relevant languages.
Data Visualization Tools: Familiarity with data visualization libraries and tools like Matplotlib, Seaborn, Plotly, or PowerBI.
Candidates should demonstrate a commitment to ethical data science practices, including understanding how to handle sensitive information and protect privacy without compromising the integrity of the data analysis.
Data Wrangling: Ability to acquire, clean, and preprocess data from various sources using SQL, Python, and other tools.
Statistical Analysis: Ability to analyze and interpret complex datasets using various statistical techniques.
Report Generation: Proficiency in developing, generating, and automating custom reports.
Data Visualization: Skill in creating interactive and static visualizations.
Python Scripting: Ability to write scripts for automating data processing and report generation tasks.
Communication: Ability to effectively communicate complex information to technical and non-technical audiences.
Problem Solving: Skill in applying technical expertise and business knowledge to solve complex problems.
Analytical Thinking: Ability to identify patterns and trends in data and make data-driven decisions.
Attention to Detail: Ability to handle data with precision and to spot anomalies and errors.
Self-Learning: Ability to stay updated with the latest technologies, techniques, and best practices in data science.
Team Collaboration: Ability to collaborate effectively with various teams to understand their needs and requirements.
Creativity: Ability to come up with innovative solutions to complex problems.
Time Management: Ability to prioritize tasks and work efficiently to meet deadlines.
Resilience: Ability to handle setbacks and maintain focus on achieving objectives.
Departmental Preferences:
Candidates with a master’s in data science, statistics, computer science, or a related field are preferred.
Preference for candidates with experience in a higher education setting and an understanding of this environment's specific needs and challenges.
Candidates with certifications in Python, SQL, or relevant data visualization tools like Matplotlib, Seaborn, or PowerBI are preferred.
Experience with machine learning techniques, statistical analysis, and predictive modeling is preferred.
We appreciate candidates with a strong record of collaboration and cross-functional team projects.
Candidates with experience with standard data governance processes.
Preference for candidates with proven ability to automate processes and generate custom reports.
Candidates who demonstrate an aptitude for continual learning and keeping up with the latest trends and best practices in data science are highly preferred.
Strong communication skills, especially the ability to convey complex information to technical and non-technical audiences, are highly desirable.
We value creativity, innovative thinking in problem-solving, and resilience in facing challenges.
Candidates with a track record of excellent time management, ability to meet deadlines, and attention to detail are preferred.
Preference for candidates who have actively engaged with ethical considerations in previous projects or roles, such as algorithmic fairness, transparency, and avoiding potential biases in data collection and analysis.
Working Conditions:
Physical:
Sits for prolonged periods of time. Ability to engage in repetitive motion. Manual dexterity. Communicate effectively.
Environmental:
Standard Office Work Environment.
Diversity Statement:The University of Oklahoma is committed to achieving a diverse, equitable, and inclusive university community by recognizing each person's unique contributions, background, and perspectives. The University of Oklahoma strives to cultivate a sense of belonging and emotional support for all, recognizing that fostering an inclusive environment for all is vital in the pursuit of academic and inclusive excellence in all aspects of our institutional mission.
Equal Employment Opportunity Statement:The University of Oklahoma, in compliance with all applicable federal and state laws and regulations, does not discriminate based on race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to, admissions, employment, financial aid, housing, services in educational programs or activities, and health care services that the University operates or provides.
Hiring contingent upon a Background Check?Yes
Special Indications:None
Job Posting:Aug 22, 2023
#J-18808-Ljbffr