Kapu Solutions LLC
Data scientist
Kapu Solutions LLC, Houston, Texas, United States,
Job position to be filled -
Kapu Solutions LLC
- Mar 09, 2024Data Scientist
Information of the job position to be filled:Label:
Data ScientistExpected date:
As Soon As PossibleSalary:
$120,000-$180,000Contact for recruitment:
Jonathan Narvaes ADMIN@KAPUSOLUTIONS.COM
Unlocking Insights to Drive USARPAC SuccessDo you have a passion for extracting hidden meaning from data and a desire to contribute to critical missions? Are you a skilled data scientist eager to leverage your expertise to support US Army Pacific (USARPAC) operations within the INDOPACOM Area of Responsibility (AOR)?
If so, this Data Scientist position could be your perfect opportunity.In this dynamic role, you'll be a key player in transforming raw data into actionable insights that empower USARPAC to achieve its strategic objectives.
You'll collaborate closely with various teams to:Advanced Analytics:
Develop and implement innovative statistical models to analyze complex data sets and uncover hidden patterns.Data-Driven Decisions:
Collaborate with product design and engineering teams to translate data insights into actionable strategies.Effective Communication:
Present findings and recommendations to stakeholders across USARPAC, ensuring clear and concise communication.We're looking for a highly skilled data scientist with:Proven Experience:
A minimum of seven years of experience in data science, demonstrating a strong track record of success.Technical Expertise:
Proficiency in data mining, mathematics, statistical analysis, and programming languages (e.g., Python, Java, SQL).Modeling and Analysis:
Experience with pattern recognition, predictive modeling, and data cleaning and validation techniques.Visualization Skills:
The ability to effectively communicate complex data insights using tools like Tableau.Collaborative Spirit:
A strong desire to work effectively within a team environment on multiple projects simultaneously.Staying Current:
A commitment to continuous learning and staying abreast of the latest advancements in data science and analytics.An ideal candidate will also possess:Active Security ClearanceAcademic Background:
A Bachelor's degree (or equivalent) in statistics, applied mathematics, or a related field.Project Management:
Prior experience leading and managing data science projects is a plus.Professional Certification:
A relevant professional certification in data science is a desirable qualification.USARPAC's Data Science Environment:Within USARPAC, you'll leverage your expertise to support a wide range of initiatives across the INDOPACOM region. Your responsibilities will encompass:Strategic Partnership:
Collaborate with product, sales, leadership, and marketing teams to identify data-driven solutions for optimizing USARPAC operations.Data Exploration:
Mine and analyze data from various sources to identify opportunities for improving product development, mission planning, and resource allocation.Modeling and Simulation:
Develop custom data models and algorithms to analyze complex scenarios and predict potential outcomes.Performance Optimization:
Implement A/B testing frameworks and monitor model performance to ensure continuous improvement.Communication and Innovation:
Clearly communicate data insights to stakeholders across USARPAC and champion a culture of data-driven decision-making.Do you thrive in a dynamic environment and possess the following qualifications?Strong Problem-Solving Skills:
A focus on using data to optimize product development and mission effectiveness.Statistical Expertise:
Experience with statistical analysis methods and programming languages (R, Python, SQL).Machine Learning Knowledge:
Understanding of various machine learning techniques and their applications.Advanced Statistical Concepts:
Knowledge of regression analysis, statistical tests, and other advanced statistical techniques.Communication Skills:
The ability to clearly communicate complex data insights to diverse audiences.Continuous Learning:
A passion for staying current with the latest advancements in data science.If you're a data science rockstar looking to make a real-world impact, we encourage you to apply!While a Master's or PhD in a quantitative field is preferred, we are open to candidates with exceptional experience who can demonstrate the required skills and knowledge.Kapu Solutions LLC provides equal employment opportunity (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, genetic information, marital status, ancestry, protected veteran status, or any other characteristic protected by applicable federal, state, and local laws and offers equal opportunity for VEVRAA Protected Veterans. Kapu Solutions LLC will not discriminate against employees and job applicants who inquire about, discuss, or disclose compensation information.Note: The salary range listed is based on what similar positions typically pay in our industry. However, your specific salary will depend on several factors. This includes things like the needs of the business, what salaries are typical in your area, and how your skills and experience compare to other candidates.
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Kapu Solutions LLC
- Mar 09, 2024Data Scientist
Information of the job position to be filled:Label:
Data ScientistExpected date:
As Soon As PossibleSalary:
$120,000-$180,000Contact for recruitment:
Jonathan Narvaes ADMIN@KAPUSOLUTIONS.COM
Unlocking Insights to Drive USARPAC SuccessDo you have a passion for extracting hidden meaning from data and a desire to contribute to critical missions? Are you a skilled data scientist eager to leverage your expertise to support US Army Pacific (USARPAC) operations within the INDOPACOM Area of Responsibility (AOR)?
If so, this Data Scientist position could be your perfect opportunity.In this dynamic role, you'll be a key player in transforming raw data into actionable insights that empower USARPAC to achieve its strategic objectives.
You'll collaborate closely with various teams to:Advanced Analytics:
Develop and implement innovative statistical models to analyze complex data sets and uncover hidden patterns.Data-Driven Decisions:
Collaborate with product design and engineering teams to translate data insights into actionable strategies.Effective Communication:
Present findings and recommendations to stakeholders across USARPAC, ensuring clear and concise communication.We're looking for a highly skilled data scientist with:Proven Experience:
A minimum of seven years of experience in data science, demonstrating a strong track record of success.Technical Expertise:
Proficiency in data mining, mathematics, statistical analysis, and programming languages (e.g., Python, Java, SQL).Modeling and Analysis:
Experience with pattern recognition, predictive modeling, and data cleaning and validation techniques.Visualization Skills:
The ability to effectively communicate complex data insights using tools like Tableau.Collaborative Spirit:
A strong desire to work effectively within a team environment on multiple projects simultaneously.Staying Current:
A commitment to continuous learning and staying abreast of the latest advancements in data science and analytics.An ideal candidate will also possess:Active Security ClearanceAcademic Background:
A Bachelor's degree (or equivalent) in statistics, applied mathematics, or a related field.Project Management:
Prior experience leading and managing data science projects is a plus.Professional Certification:
A relevant professional certification in data science is a desirable qualification.USARPAC's Data Science Environment:Within USARPAC, you'll leverage your expertise to support a wide range of initiatives across the INDOPACOM region. Your responsibilities will encompass:Strategic Partnership:
Collaborate with product, sales, leadership, and marketing teams to identify data-driven solutions for optimizing USARPAC operations.Data Exploration:
Mine and analyze data from various sources to identify opportunities for improving product development, mission planning, and resource allocation.Modeling and Simulation:
Develop custom data models and algorithms to analyze complex scenarios and predict potential outcomes.Performance Optimization:
Implement A/B testing frameworks and monitor model performance to ensure continuous improvement.Communication and Innovation:
Clearly communicate data insights to stakeholders across USARPAC and champion a culture of data-driven decision-making.Do you thrive in a dynamic environment and possess the following qualifications?Strong Problem-Solving Skills:
A focus on using data to optimize product development and mission effectiveness.Statistical Expertise:
Experience with statistical analysis methods and programming languages (R, Python, SQL).Machine Learning Knowledge:
Understanding of various machine learning techniques and their applications.Advanced Statistical Concepts:
Knowledge of regression analysis, statistical tests, and other advanced statistical techniques.Communication Skills:
The ability to clearly communicate complex data insights to diverse audiences.Continuous Learning:
A passion for staying current with the latest advancements in data science.If you're a data science rockstar looking to make a real-world impact, we encourage you to apply!While a Master's or PhD in a quantitative field is preferred, we are open to candidates with exceptional experience who can demonstrate the required skills and knowledge.Kapu Solutions LLC provides equal employment opportunity (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, genetic information, marital status, ancestry, protected veteran status, or any other characteristic protected by applicable federal, state, and local laws and offers equal opportunity for VEVRAA Protected Veterans. Kapu Solutions LLC will not discriminate against employees and job applicants who inquire about, discuss, or disclose compensation information.Note: The salary range listed is based on what similar positions typically pay in our industry. However, your specific salary will depend on several factors. This includes things like the needs of the business, what salaries are typical in your area, and how your skills and experience compare to other candidates.
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