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Scope: HM mentioned candidates won't have to build their own pipelines – but he would love to know what projects they worked on and how they ultimately helped the business or manager's request through key insights. Main project they have is dealing with Markdowns on products (clearance) – probably predictive analytics here regarding what products need to be marked down. After that, it'll be supply chain & logistics, Customer behavior (loyalty), and then real estate planning ß this has to do with figuring out where to place distribution centers or stores, which ultimately will help lower costs on shipping, logistics, etc.
Business problems come to us (science, engineering, analyts, bi)
Demand forecasting, product, otimization
Supply chain, location, order execution, fulfillment
Customer behavior models, segmentations
Real estate planning
Fit in one of the projects – preferred demand forecasting, markdown project – bunch of milestones on to hit
Azure, databricks == good experience, but not hard requirement
Central datalake
Modeling – deploying models, creating dashboard – engineering
Build models, necessary test,
No cloud vision, no personalization, no NLP
Deep learning is useful for
Lot of trouble working analytics environment
100 tables spread across tens of databases
Willingness to learn – how they learn
Preferred ecommerce/retail not a hard requirement : Main skills – ability to solve problems // ambiguous business problems // work with engagement team, understand to analysis to build insights, to build solutions based on the problem Back fill - let someone go that wasn't technical enough
"Any experience is good. All projects are understaffed, so we can use the candidate anywhere. but markdown will be the first choice. so I would say demand forecasting."
Skills / Qualifications:
• Advanced SQL skills and is comfortable operating with relational data models and structure.
• Advanced skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment.Is capable of accessing data via a variety of API/RESTful services.
• Advanced programming skills in either R, Python, or similar analytical language.
• Intermediate knowledge of Linux and Bash. Can interact with the OS at the command line and create shell scripts to automate workflows.
• Experience with state of the art techniques such as AI and Deep Learning.
• Advanced knowledge of Apache Spark.
• Intermediate knowledge of cloud environments such as AWS and Azure.
• Intermediate understanding of software development and collaboration, including experience with tools such as Git.
• Exceptional written and verbal communication skills, comfortable presenting in front of large audiences.
• A basic understanding of Agile methodologies and continuous delivery.
• Excellent data visualization skills, is able to determine the appropriate visualization for a variety of data types and create compelling stories with data.
• An advanced understanding of supervised and unsupervised learning techniques including; variable selection, feature engineering, model generation, model diagnostics, and deployment.
• Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist /Bayesian methodologies.
• A proven track record of leading successful projects and driving measurable, viable results using Data Science techniques.
Education and/or Experience
Bachelors Degree, Masters Degree or PhD. in a Data Science, Applied Mathematics, Computer Science or otherwise research-based field;
3-5 years of related experience and/or training; or equivalent combination of education and experience.
About Kyyba:
Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Disclaimer:
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.
Rewards:
Medical, dental, vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
Scope: HM mentioned candidates won't have to build their own pipelines – but he would love to know what projects they worked on and how they ultimately helped the business or manager's request through key insights. Main project they have is dealing with Markdowns on products (clearance) – probably predictive analytics here regarding what products need to be marked down. After that, it'll be supply chain & logistics, Customer behavior (loyalty), and then real estate planning ß this has to do with figuring out where to place distribution centers or stores, which ultimately will help lower costs on shipping, logistics, etc.
Business problems come to us (science, engineering, analyts, bi)
Demand forecasting, product, otimization
Supply chain, location, order execution, fulfillment
Customer behavior models, segmentations
Real estate planning
Fit in one of the projects – preferred demand forecasting, markdown project – bunch of milestones on to hit
Azure, databricks == good experience, but not hard requirement
Central datalake
Modeling – deploying models, creating dashboard – engineering
Build models, necessary test,
No cloud vision, no personalization, no NLP
Deep learning is useful for
Lot of trouble working analytics environment
100 tables spread across tens of databases
Willingness to learn – how they learn
Preferred ecommerce/retail not a hard requirement : Main skills – ability to solve problems // ambiguous business problems // work with engagement team, understand to analysis to build insights, to build solutions based on the problem Back fill - let someone go that wasn't technical enough
"Any experience is good. All projects are understaffed, so we can use the candidate anywhere. but markdown will be the first choice. so I would say demand forecasting."
Skills / Qualifications:
• Advanced SQL skills and is comfortable operating with relational data models and structure.
• Advanced skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment.Is capable of accessing data via a variety of API/RESTful services.
• Advanced programming skills in either R, Python, or similar analytical language.
• Intermediate knowledge of Linux and Bash. Can interact with the OS at the command line and create shell scripts to automate workflows.
• Experience with state of the art techniques such as AI and Deep Learning.
• Advanced knowledge of Apache Spark.
• Intermediate knowledge of cloud environments such as AWS and Azure.
• Intermediate understanding of software development and collaboration, including experience with tools such as Git.
• Exceptional written and verbal communication skills, comfortable presenting in front of large audiences.
• A basic understanding of Agile methodologies and continuous delivery.
• Excellent data visualization skills, is able to determine the appropriate visualization for a variety of data types and create compelling stories with data.
• An advanced understanding of supervised and unsupervised learning techniques including; variable selection, feature engineering, model generation, model diagnostics, and deployment.
• Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist /Bayesian methodologies.
• A proven track record of leading successful projects and driving measurable, viable results using Data Science techniques.
Education and/or Experience
Bachelors Degree, Masters Degree or PhD. in a Data Science, Applied Mathematics, Computer Science or otherwise research-based field;
3-5 years of related experience and/or training; or equivalent combination of education and experience.
About Kyyba:
Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Disclaimer:
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.
Rewards:
Medical, dental, vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
- An INC 5000 company for 10 years
- Corp! Michigan Economic Bright Spots
- Crain’s Detroit Business Top Staffing Service Companies in Detroit
- TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
- Best of MichBusiness winner in HR Wizards & Partnerships
- Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
- 101 Best & Brightest Companies to Work for in Michigan
