Data Scientist at Brunswick in Fond Du Lac, WI
It is our people behind life's passions who will make the big difference. If you are interested in becoming part of a company that delivers market leading products, driving your own career and working with brands committed to active lifestyles, then you've found your fit. Have what it takes? Join us. PLEASE NOTE:
Brunswick will never ask you to pay any money to participate in the interview process and will not require that you provide sensitive information such as credit card or bank account information. We have recently become aware of certain efforts by cyber criminals who are publishing and promoting fake job listings on third party websites, such as Craigslist and Indeed, by pretending to be actual Brunswick employees. To help ensure you don't fall victim to any of those scams, never disclose sensitive information as mentioned above. All job offers will come to you via the candidate portal you create when applying to a posted position through . Are you looking to use your data science skills to directly impact a great company? Are you passionate about solving complex business problems? Are you willing to push the boundaries of the business? Are you excited to help take our fun, recreational products to the next level? If so, then bring your skills for a great career at Brunswick. BASIC ACCOUNTABILITY STATEMENT:
At Brunswick Corporation, we are passionate about turning data into insights that make an impact! We are seeking an established Data Scientist with 3
years of experience to join our growing Advanced Analytics team and help lead us into the future. This role is remote, with possible 10% travel, depending on the project. If you want to make a large impact to a highly visible team, this is your chance. This person will support our various organizational initiatives - Accelerating Digital Experiences, Driving Portfolio Growth, Enabling Strategy, and Driving Operational Excellence. The Data Scientist is responsible for gathering, cleaning, managing, and exploring a large amount of disparate data to make predictions, build data models and algorithms, test hypotheses, and communicate the results. The position has the responsibility to generate evidence-based insights that can be communicated in a visual and storytelling fashion to aid the business in decision making. This person will recommend and manage new technologies, processes, and methodologies; collaborate with other Data Scientists, Enterprise Architects, and Security colleagues; and drive analytical rigor. A successful Data Scientist will be well versed in statistics, mathematics, economics, programming, and have a solid business focused background and acumen. They must be a solid team player who is inquisitive, creative, adaptable, tenacious, and a solid communicator who understands their audience. DUTIES AND
Responsibilities:
Understands, evaluates, and elicits requirements for complex business questions and challenges Identifies relevant internal and external data Obtains, cleans, and manages large, fast moving disparate data sets Identifies areas where missing data could be deemed useful in providing business insights Builds and refines predictive models which may incorporate methods for regression, classification, text/pattern recognition, probabilistic/graphical models, streaming, and time series analysis. Apply rigorous validation methods to models and provide realistic expectations of model performance when it is generalized to new data (e.g., confidence intervals). Clearly communicate insights discovered from models in a manner which is easily interpretable by general business users Closely collaborates with business users & subject matter experts Produces ad hoc, as well as ongoing reports, graphs, charts, tables, and other visualizations Develops analytical macros and applications via code or GUI interface that provide business insight Creates and leads presentations Researches and recommends data science best practices Educates others on predictive analytic and statistical based data science techniques Aggressively and continuously advances skill set Makes decisions and recommendations on project priorities, functional design changes, process improvements and problem resolution Participates as a member or a lead on multi-function teams and project planning activities, helps to ensure that projects are completed in a timely and cost-effective manner Ensures that accurate and thorough documentation is maintained for any programming code, application, macro, or business process Job Requirements:
WHAT YOU NEED TO BRING TO OUR WINNING TEAM:
A Master of Science degree in predictive analytics, computer science, statistics, mathematics, economics, or related field OR relevant experience Expertise in one or more modeling platforms/languages, such as Python, R, SAS, and SPSS Knowledge of analytical and visualization tools, such as Alteryx and Microsoft Power BI. Experience in the following techniques:
Classification (e.g. Decision Trees and Support Vector Machine), Regression (i.e. Linear and Nonlinear), Clustering (e.g. K-means, and Fuzzy), Time-series modelling and forecasting (e.g. ARIMA, GARCH, and Exponential Smoothing), and Statistical Analysis (e.g. Hierarchical Modeling and Hypothesis Testing) Experience with ensemble learners (Random Forest, AdaBoost) Versed in Microsoft Azure technologies (Data Factory, Data Bricks, etc.), SQL, NoSQL Proven experience with predictive and prescriptive analytics Experience implementing or using a data lake and logical data warehouse Experience deploying data science solutions to the business environment Requires analytical ability, creativity and judgment in analyzing, developing and implementing software solutions Ability to work in teams, fostering a collaborative environment Proven experience in an environment with multiple tasks and changing priorities Experience developing reports, models, applications, and presentations COMPETENCIES:
ANALYZES AND SOLVES PROBLEMS:
Gathers relevant information systematically; considers a broad range of issues or factors; grasps complexities and perceives relationships among problems or issues; includes others in problem-solving efforts when appropriate. EMBRACES TEAM MEMBERSHIP:
Shows commitment to team objectives; values each person's contribution to the team; encourages the participation and involvement of everyone on the team; contributes own fair share of effort to the team's work. WORKS EFFICIENTLY:
Allocates own time efficiently; handles multiple demands and competing priorities; eliminates inefficiencies; conducts effective meetings. COMMITS TO QUALITY:
Emphasizes the need to deliver quality products and/or services; defines standards for quality and evaluates products, processes, and/or services against those standards; builds quality into each step of the process. USES TECHNICAL / FUNCTIONAL EXPERTISE:
Possesses up-to-date technical knowledge; is regarded as an expert in the technical/functional area; uses quantitative data to draw conclusions; presents technical information in easily understood terms. DEMONSTRATES ADAPTABILITY:
Handles day-to-day work challenges confidently; is willing and able to adjust to multiple demands, shifting priorities, ambiguity, and rapid change; shows resilience in the face of constraints, frustrations, or adversity; demonstrates flexibility. DEMONSTRATES DRIVE & COMMITMENT:
Strives to attain results; conveys a sense of urgency and drives issues to closure; persists despite obstacles and opposition; sets high standards of performance; pursues challenging goals and works hard to achieve them. KNOWS THE BUSINESS:
Shows understanding of issues relevant to the broad organization and business; keeps that knowledge up-to-date; understands the impact of external events on the organization's plans and objectives. PREPARES WRITTEN COMMUNICATION:
Conveys information clearly and effectively through both formal and informal documents; adapts writing style to fit the audience. LISTENS TO OTHERS:
Demonstrates attention to and conveys understanding of the comments and concerns of others; listens well in a group. SPEAKS EFFECTIVELY:
Speaks clearly and concisely; expresses self well in groups and one-to-one conversations; delivers effective presentations. DEVELOPS ONESELF:
Learns from experience; actively pursues learning and skill development; seeks feedback and welcomes unsolicited feedback; modifies behavior in light of feedback. We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. Diversity of experience and skills combined with passion is a key to innovation and inspiration. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Brunswick will never ask you to pay any money to participate in the interview process and will not require that you provide sensitive information such as credit card or bank account information. We have recently become aware of certain efforts by cyber criminals who are publishing and promoting fake job listings on third party websites, such as Craigslist and Indeed, by pretending to be actual Brunswick employees. To help ensure you don't fall victim to any of those scams, never disclose sensitive information as mentioned above. All job offers will come to you via the candidate portal you create when applying to a posted position through . Are you looking to use your data science skills to directly impact a great company? Are you passionate about solving complex business problems? Are you willing to push the boundaries of the business? Are you excited to help take our fun, recreational products to the next level? If so, then bring your skills for a great career at Brunswick. BASIC ACCOUNTABILITY STATEMENT:
At Brunswick Corporation, we are passionate about turning data into insights that make an impact! We are seeking an established Data Scientist with 3
years of experience to join our growing Advanced Analytics team and help lead us into the future. This role is remote, with possible 10% travel, depending on the project. If you want to make a large impact to a highly visible team, this is your chance. This person will support our various organizational initiatives - Accelerating Digital Experiences, Driving Portfolio Growth, Enabling Strategy, and Driving Operational Excellence. The Data Scientist is responsible for gathering, cleaning, managing, and exploring a large amount of disparate data to make predictions, build data models and algorithms, test hypotheses, and communicate the results. The position has the responsibility to generate evidence-based insights that can be communicated in a visual and storytelling fashion to aid the business in decision making. This person will recommend and manage new technologies, processes, and methodologies; collaborate with other Data Scientists, Enterprise Architects, and Security colleagues; and drive analytical rigor. A successful Data Scientist will be well versed in statistics, mathematics, economics, programming, and have a solid business focused background and acumen. They must be a solid team player who is inquisitive, creative, adaptable, tenacious, and a solid communicator who understands their audience. DUTIES AND
Responsibilities:
Understands, evaluates, and elicits requirements for complex business questions and challenges Identifies relevant internal and external data Obtains, cleans, and manages large, fast moving disparate data sets Identifies areas where missing data could be deemed useful in providing business insights Builds and refines predictive models which may incorporate methods for regression, classification, text/pattern recognition, probabilistic/graphical models, streaming, and time series analysis. Apply rigorous validation methods to models and provide realistic expectations of model performance when it is generalized to new data (e.g., confidence intervals). Clearly communicate insights discovered from models in a manner which is easily interpretable by general business users Closely collaborates with business users & subject matter experts Produces ad hoc, as well as ongoing reports, graphs, charts, tables, and other visualizations Develops analytical macros and applications via code or GUI interface that provide business insight Creates and leads presentations Researches and recommends data science best practices Educates others on predictive analytic and statistical based data science techniques Aggressively and continuously advances skill set Makes decisions and recommendations on project priorities, functional design changes, process improvements and problem resolution Participates as a member or a lead on multi-function teams and project planning activities, helps to ensure that projects are completed in a timely and cost-effective manner Ensures that accurate and thorough documentation is maintained for any programming code, application, macro, or business process Job Requirements:
WHAT YOU NEED TO BRING TO OUR WINNING TEAM:
A Master of Science degree in predictive analytics, computer science, statistics, mathematics, economics, or related field OR relevant experience Expertise in one or more modeling platforms/languages, such as Python, R, SAS, and SPSS Knowledge of analytical and visualization tools, such as Alteryx and Microsoft Power BI. Experience in the following techniques:
Classification (e.g. Decision Trees and Support Vector Machine), Regression (i.e. Linear and Nonlinear), Clustering (e.g. K-means, and Fuzzy), Time-series modelling and forecasting (e.g. ARIMA, GARCH, and Exponential Smoothing), and Statistical Analysis (e.g. Hierarchical Modeling and Hypothesis Testing) Experience with ensemble learners (Random Forest, AdaBoost) Versed in Microsoft Azure technologies (Data Factory, Data Bricks, etc.), SQL, NoSQL Proven experience with predictive and prescriptive analytics Experience implementing or using a data lake and logical data warehouse Experience deploying data science solutions to the business environment Requires analytical ability, creativity and judgment in analyzing, developing and implementing software solutions Ability to work in teams, fostering a collaborative environment Proven experience in an environment with multiple tasks and changing priorities Experience developing reports, models, applications, and presentations COMPETENCIES:
ANALYZES AND SOLVES PROBLEMS:
Gathers relevant information systematically; considers a broad range of issues or factors; grasps complexities and perceives relationships among problems or issues; includes others in problem-solving efforts when appropriate. EMBRACES TEAM MEMBERSHIP:
Shows commitment to team objectives; values each person's contribution to the team; encourages the participation and involvement of everyone on the team; contributes own fair share of effort to the team's work. WORKS EFFICIENTLY:
Allocates own time efficiently; handles multiple demands and competing priorities; eliminates inefficiencies; conducts effective meetings. COMMITS TO QUALITY:
Emphasizes the need to deliver quality products and/or services; defines standards for quality and evaluates products, processes, and/or services against those standards; builds quality into each step of the process. USES TECHNICAL / FUNCTIONAL EXPERTISE:
Possesses up-to-date technical knowledge; is regarded as an expert in the technical/functional area; uses quantitative data to draw conclusions; presents technical information in easily understood terms. DEMONSTRATES ADAPTABILITY:
Handles day-to-day work challenges confidently; is willing and able to adjust to multiple demands, shifting priorities, ambiguity, and rapid change; shows resilience in the face of constraints, frustrations, or adversity; demonstrates flexibility. DEMONSTRATES DRIVE & COMMITMENT:
Strives to attain results; conveys a sense of urgency and drives issues to closure; persists despite obstacles and opposition; sets high standards of performance; pursues challenging goals and works hard to achieve them. KNOWS THE BUSINESS:
Shows understanding of issues relevant to the broad organization and business; keeps that knowledge up-to-date; understands the impact of external events on the organization's plans and objectives. PREPARES WRITTEN COMMUNICATION:
Conveys information clearly and effectively through both formal and informal documents; adapts writing style to fit the audience. LISTENS TO OTHERS:
Demonstrates attention to and conveys understanding of the comments and concerns of others; listens well in a group. SPEAKS EFFECTIVELY:
Speaks clearly and concisely; expresses self well in groups and one-to-one conversations; delivers effective presentations. DEVELOPS ONESELF:
Learns from experience; actively pursues learning and skill development; seeks feedback and welcomes unsolicited feedback; modifies behavior in light of feedback. We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. Diversity of experience and skills combined with passion is a key to innovation and inspiration. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
