Kuraray America, Inc.
Data Scientist II
Kuraray America, Inc., Scottsdale, Arizona, us, 85261
Come build the next-gen fintech at Early Warning, network operator of Zelle, where we’re relentlessly focused on empowering prosperity in all its forms.From fast money movement for over 100 million people who can access Zelle directly through their banking app to new account opening and beyond – we make a difference in the lives of consumers and businesses every day and enable them to live their best financial lives. And we’re only getting started.With new state-of-the-art offices in Scottsdale, AZ (Headquarters) and Chicago, IL – plus a growing presence in San Francisco – we’re entering our next big chapter. We focus all hiring efforts in a few states and within driving distance of an office location to enable in-person collaboration when and where possible. Priority hiring locations are Scottsdale, AZ, Illinois, NY tri-state metro area (New Jersey, New York and Connecticut) and San Francisco, CA. On exception we will hire in secondary locations such as District of Columbia, Florida, Georgia, Maryland, Nevada, North Carolina, South Carolina, Texas and Virginia. We are not actively recruiting in Colorado, Rhode Island or Washington.People matter to us, so we think our best work is done when we’re together, in-person. From informal interactions, to sharing ideas, to mentoring and beyond. We also believe in workplace flexibility and empowering teams to determine the rhythm of work to create an inclusive culture. Through the power of innovative collaboration, we offer hybrid and (when necessary) virtual (“remote”) workplace models.Join us and make your mark on what’s next in fintech.Applicants must be authorized to work for any employer in the United States. We are unable to sponsor an employment Visa for this position.Overall Purpose
This position serves as a data science team member in the company delivering leading edge machine learning and artificial intelligence concepts from start to finish in collaboration with senior technical and business leaders. This includes understanding the business problem/need, exploring and aggregating data, building and validating algorithms, and deploying completed models to deliver business results.Essential Functions
Explore and aggregate data independently to uncover data anomalies that impact algorithm performance.End to end feature engineering - brainstorm, create, validate, down-select, etc.Write production level code in a dynamic, start-up environment.Solve complex problems using terabyte size data sets.Apply a variety of machine learning techniques to a business problem to arrive at optimal approach.Partner with Product and Engineering teams to solve problems and identify trends and opportunities.Explain and visualize results and algorithm performance to non-technical audiences.Support the company's commitment to protect the integrity and confidentiality of systems and data.Minimum Qualifications
Bachelor’s Degree in Mathematics, Statistics, Computer Science, Operational Research or related field.A minimum of 4 years data science, engineering, mathematics, or related work experience is required.Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets.Experience applying various machine learning techniques, and understanding the key parameters that affect their performance.Experience using ML libraries, such as scikit-learn, mllib, etc.Experience using data visualization tools.Able to write production level code, which is well-written and explainable.Interest to do lots and lots of proof of concepts/rapid prototyping.Ability to effectively communicate findings from complex analyses to non-technical audiences.Background and drug screen.Preferred Qualifications
PhD/MSc in Mathematics, Statistics, Computer Science, Operational Research or related field; Advanced degree preferred.Knowledge of advanced ML algorithms.2+ years of industry experience in machine learning.Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.Experience exploring data and finding hidden patterns.Physical Requirements
Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.Company Commitment
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.Early Warning Services is an equal opportunity employer.Health and Happiness Prioritization
Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.12 weeks of Paid Parental Leave.Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!Early Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.
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This position serves as a data science team member in the company delivering leading edge machine learning and artificial intelligence concepts from start to finish in collaboration with senior technical and business leaders. This includes understanding the business problem/need, exploring and aggregating data, building and validating algorithms, and deploying completed models to deliver business results.Essential Functions
Explore and aggregate data independently to uncover data anomalies that impact algorithm performance.End to end feature engineering - brainstorm, create, validate, down-select, etc.Write production level code in a dynamic, start-up environment.Solve complex problems using terabyte size data sets.Apply a variety of machine learning techniques to a business problem to arrive at optimal approach.Partner with Product and Engineering teams to solve problems and identify trends and opportunities.Explain and visualize results and algorithm performance to non-technical audiences.Support the company's commitment to protect the integrity and confidentiality of systems and data.Minimum Qualifications
Bachelor’s Degree in Mathematics, Statistics, Computer Science, Operational Research or related field.A minimum of 4 years data science, engineering, mathematics, or related work experience is required.Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets.Experience applying various machine learning techniques, and understanding the key parameters that affect their performance.Experience using ML libraries, such as scikit-learn, mllib, etc.Experience using data visualization tools.Able to write production level code, which is well-written and explainable.Interest to do lots and lots of proof of concepts/rapid prototyping.Ability to effectively communicate findings from complex analyses to non-technical audiences.Background and drug screen.Preferred Qualifications
PhD/MSc in Mathematics, Statistics, Computer Science, Operational Research or related field; Advanced degree preferred.Knowledge of advanced ML algorithms.2+ years of industry experience in machine learning.Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.Experience exploring data and finding hidden patterns.Physical Requirements
Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.Company Commitment
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.Early Warning Services is an equal opportunity employer.Health and Happiness Prioritization
Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.12 weeks of Paid Parental Leave.Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!Early Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.
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