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The Chamberlain Group, Inc.
Oak Brook, IL | Full Time
5 Months Ago
Advocate Health
Oak Brook, IL | Full Time
$116k-143k (estimate)
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Chamberlain Group
Oak Brook, IL | Full Time
$83k-111k (estimate)
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Chamberlain Group
Oak Brook, IL | Full Time
$122k-149k (estimate)
5 Days Ago
Lead Data Scientist
Full Time | Medical Technology 5 Months Ago
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The Chamberlain Group, Inc. is Hiring a Lead Data Scientist Near Oak Brook, IL

We help you move throughout your day. Connecting you to what matters most. We are Chamberlain Group and we are redefining access solutions by connecting people, places and events. WE GIVE THE POWER OF ACCESS AND KNOWLEDGE. Our leading brands like LiftMaster, Chamberlain, Merlin and Grifco are found in millions of homes and commercial applications across the globe and are powered by our innovative myQ technology. Chamberlain Group is also the parent company to Controlled Products Systems Group, a leading wholesale distributor of perimeter access control equipment in the U.S and an affiliate of Systems, LLC, one of North America’s leading dock leveler manufacturers. If you are a current Chamberlain Group employee, please click here to apply through your Workday account. Chamberlain Group is a global leader in access solutions with top brands, such as LiftMaster and 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 our myQ digital ecosystem. This role is responsible for the design, development, and deployment of advanced analytics solutions supporting CG’s strategic business priorities. This role will create and train statistical models and algorithms and provide insights and user-friendly tools and capabilities to enable data-driven decisions by business stakeholders. Essential Duties and Responsibilities: Identify 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 Protect CGI’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, physics, or other quantitative field of study Experience: 8 years of relevant work experience Knowledge, Skills, and Abilities: Expert knowledge of advanced analytical techniques, including multivariate statistics, forecasting, predictive modeling, network and cluster analysis, simulation, neural networks, sentiment analysis, and data aggregation Experience developing machine learning algorithms Proficient knowledge of artificial intelligence Proficient in Python, SQL, R Experience working distributed computer tools (e.g. Hive, Apache Spark, Impala and Scala) Experience in manipulating, analyzing, and interpreting large-scale data Experience scaling analytics in the cloud (e.g. Azure) Other: Preferred Qualifications Education/Certifications: Master's degree or Ph.D. in statistics, mathematics, econometrics, engineering, physics, or other quantitative field of study Experience: Experience working with Agile methodologies Experience in data visualization tools (e.g. Qlik, Power BI, Tableau) Chamberlain is proud to be an Equal Opportunity Employer. You will be considered for this position based upon your experience and education, without regard to race, color, religion, sex, national origin, age, sexual orientation, ancestry, marital, disabled or veteran status. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment. We're an organization who values its human capital and provides support to assist its employees succeed. Chamberlain Group is proud to be an Equal Opportunity Employer. You will be considered for this position based upon your experience and education, without regard to race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com. NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers via email or phone or other methods.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Medical Technology

POST DATE

11/09/2022

EXPIRATION DATE

12/17/2022

WEBSITE

thecgroup.com

HEADQUARTERS

GREAT BARRINGTON, MA

SIZE

50 - 100

FOUNDED

1999

TYPE

Private

CEO

ERIC CHAMBERLAIN

REVENUE

$10M - $50M

INDUSTRY

Medical Technology

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About CHAMBERLAIN

Chamberlain Group manufactures residential and commercial door operators, access control and communication products.

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The job skills required for Lead Data Scientist include Machine Learning, Python, Insight, Algorithms, SQL, Tableau, etc. Having related job skills and expertise will give you an advantage when applying to be a Lead Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Lead Data Scientist. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Lead Data Scientist positions, which can be used as a reference in future career path planning. As a Lead Data Scientist, it can be promoted into senior positions as a Data Science Manager that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Lead Data Scientist. You can explore the career advancement for a Lead Data Scientist below and select your interested title to get hiring information.

If you are interested in becoming a Lead Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Lead Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Lead Data Scientist job description and responsibilities

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in-depth knowledge of statistics, probability, and machine learning methodologies

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Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Lead Data Scientist jobs

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You’ll help design systems that monitor and continuously improve customer-facing models

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Have strong fundamentals in statistics, optimization, and experimental design

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Step 3: View the best colleges and universities for Lead Data Scientist.

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