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Lead Data Scientist - Oak Brook, United States - The Chamberlain Group Inc
Description
Chamberlain Group is a global leader in access solutions with top brands, such asLiftMasterand Chamberlain,found in millions of homes, businesses, and communities worldwide.
As a leader in the Smart Home industry, we boast one of the largest IoT install bases, with innovative products consisting of cameras, locks, card readers, garage door openers, gates and more, all powered by ourmyQdigital ecosystem.
This role is responsible for the design, development, and deployment of advanced analytics solutions supporting Chamberlain Group's strategic business priorities.
The Lead Data Scientist will create and train statistical models and machine learning algorithms and provide insights, user-friendly tools, and capabilities to enable data-driven decisions by business stakeholders.
Essential Duties and ResponsibilitiesIdentify best analytical techniques to achieve Business Unit objectives; design, develop, and deploy advanced analytics solutions, including predictive and prescriptive outputs, analytical tools, and visualization capabilities to enable business users to make data-driven decisions
Execute analytic activities supporting solution development, including data gathering, cleansing, and integration, statistical transformation and modeling, and feature engineering and selection
Apply analytical techniques, including linear/non-linear models, clustering, optimization, forecasting, machine learning, and neural networks
Collaborate with stakeholders and advanced analytics business partners to understand business needs and to identify and define advanced analytics solutions; effectively communicate results
Develop innovative solutions through deep understanding of internal and external data
Create appropriate standards and processes to ensure quality and consistency of Advanced Analytics solutions
Direct activities of third-party contractors / consultants for specific business projects
Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams
Protect Chamberlain Group's reputation by keeping information confidential
Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies
Contribute to the team effort by accomplishing related results and participating on projects as needed
Minimum Qualifications
Education/Certifications:
Bachelor's degree in statistics, mathematics, econometrics, engineering, or other quantitative field of study
Experience:
7+ years of relevant work experience
Knowledge, Skills, and Abilities:
Expert knowledge of advanced statistics and machine learning methods, including regression, classification, time series analysis, network analysis, clustering, simulation, dimension reduction
Proficient in using SQL and Python to process and analyze data and create data visualizations
Proficient in using distributed computing tools (e.g., Databricks, Apache Spark)
Experience in manipulating, analyzing, and interpreting large-scale data
Experience scaling analytics in the cloud (e.g., Azure)
Experience writing and speaking about technical concepts to technical and non-technical audiences
Ability to effectively lead projects from conception to completion, both independently and in a team environment, with minimal guidance
Keen analytical and problem-solving skills
Excellent written and verbal communication skills
Ability to deliver thought-provoking analysis and provide clear, concise recommendations
Preferred Qualifications
Education/Certifications:
Master's degree or Ph.
D. in statistics, mathematics, econometrics, engineering, or other quantitative field of study
Experience:
Experience working with Agile methodologies
Experience in data visualization tools (e.g., Qlik, Power BI)
#LI-JM2
Chamberlain Group wants
all
of
its employees to
succeed and encourages
people of all backgrounds to apply.
We're
proud to be an Equal Opportunity Employer, and
you'll
be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital,
disabled
or veteran status.
We're
committed to fostering an environment
where
people of
all live
d
experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence .
NOTE:
Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.
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