1

Evening Amazon Data Science Jobs in Missouri (NOW HIRING)

Contribute to best practices for data science, modeling, governance, and experimentation ... Experience with Amazon SageMaker for model development, training, and deployment. * Experience ...

Contribute to best practices for data science, modeling, governance, and experimentation ... Experience with Amazon SageMaker for model development, training, and deployment. * Experience ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a ... Experience with Amazon SageMaker for model development, training, and deployment. * Experience ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a ... Experience with Amazon SageMaker for model development, training, and deployment. * Experience ...

Senior Data Analytics Developer

California, MO · On-site

$109.57 - $146.10/hr

Be a thought - leader in analytics/data science with respect to entity resolution as it pertains to ... Being knowledgeable in XML, Dynamics AX 2012, Dynamics CRM, Amazon AWS, Microsoft Azure, Microsoft ...

New

Pharmacy Manager, Amazon Pharmacy

Chesterfield, MO · On-site

$64.25 - $75.75/hr

BASIC QUALIFICATIONS - Bachelor's degree in Science, or Doctor of Pharmacy in PharmD, or Doctor of ... data - 1 year Staff Pharmacist experience within Amazon Pharmacy (if currently an Amazon employee ...

Sr Data Engineer

Lake Saint Louis, MO · On-site

$108K - $130K/yr

Education/Experience: Bachelor's degree in Computer Science, Computer Engineering, Software ... CockroachDB, Amazon Aurora and Redis; Linux - RedHat; Continuous Integration and Deployment ...

As a Technical Consultant, Enterprise Data Engineer, you will design and implement scalable ... Amazon, PostgreSQL, Oracle) * Master`s degree in computer science, mathematics, GIS, or related ...

next page

Showing results 1-20

Evening Amazon Data Science information

What is an evening Amazon data science job?

An Evening Amazon Data Science job typically involves working as a data scientist at Amazon during evening hours, either as part of a flexible schedule or to cover specific business needs. Data scientists at Amazon analyze large datasets, develop predictive models, and provide insights to improve products, services, or operations. Working evening shifts may be ideal for those seeking non-traditional hours or balancing other commitments. Responsibilities are similar to daytime roles but may require additional collaboration with global teams or support for time-sensitive projects.

What are some common challenges faced by data scientists working evening shifts at Amazon, and how can they be managed?

Data scientists working evening shifts at Amazon may face challenges such as coordinating with colleagues in different time zones, maintaining effective communication with daytime teams, and managing work-life balance. To overcome these hurdles, it's helpful to leverage collaborative tools like Slack or Amazon Chime for asynchronous communication, schedule overlap meetings when possible, and establish clear expectations with team members. Additionally, evening shift roles can offer the advantage of uninterrupted focus time for deep analysis and model development, which can contribute to higher productivity and skill growth.

What are the key skills and qualifications needed to thrive as an evening Amazon data science professional, and why are they important?

To thrive as an Evening Amazon Data Science professional, you need a strong background in statistics, machine learning, and data analysis, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like Python, SQL, AWS services (such as Redshift or S3), and data visualization platforms is essential, along with experience using version control systems. Strong communication skills, problem-solving abilities, and adaptability to work independently during non-standard hours help you stand out in this role. These skills ensure you can effectively derive insights, collaborate across teams asynchronously, and support data-driven decision-making in Amazon’s dynamic environment.

What is the difference between Evening Amazon Data Science vs Amazon Data Analyst?

AspectEvening Amazon Data ScienceAmazon Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's degree in Data Analysis, Business, or related fields; proficiency in Excel, SQL
Work EnvironmentFocus on developing models, algorithms, and advanced analytics during evening shiftsData reporting, visualization, and supporting business decisions, often during regular hours
Employer & Industry UsageUsed in tech and e-commerce sectors for machine learning and predictive modelingCommon in retail, e-commerce, and logistics for data reporting and insights

While both roles involve working with data at Amazon, Evening Amazon Data Science focuses on advanced analytics and model development during evening hours, whereas Amazon Data Analysts primarily handle data reporting and insights during regular hours. The roles differ in technical complexity and daily responsibilities but share a common goal of leveraging data to improve business outcomes.

Does Amazon have an evening shift?

Amazon offers evening shifts for various roles, including data science positions, to support 24/7 operations. These shifts typically start in the late afternoon or evening and may require flexibility in working hours. Availability of evening shifts can vary by location and department.

What are the most commonly searched types of Amazon Data Science jobs in Missouri?

The most popular types of Amazon Data Science jobs in Missouri are:

What cities in Missouri are hiring for Evening Amazon Data Science jobs?

Cities in Missouri with the most Evening Amazon Data Science job openings:

Infographic showing various Evening Amazon Data Science job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Data Scientist

Perficient

Saint Louis, MO • On-site

Full-time

Life, PTO

Posted 8 days ago


Job description


We currently have a career opportunity for a Data Scientist to join our team .
Job Overview:
As a Lead Technical Consultant you will participate in all aspects of the software development lifecycle which includes estimating, technical design, implementation, documentation, testing, deployment and support of application developed for our clients. As a member working in a team environment you will work with solution architects and developers on interpretation/translation of wireframes and creative designs into functional requirements, and subsequently into technical design.
We are seeking a highly analytical and results-driven Machine Learning Engineer / Data Scientist to develop and deploy predictive models that drive business outcomes and improve decision-making across the organization. The ideal candidate will combine strong machine learning expertise, data engineering skills, and business acumen to translate complex data into actionable insights.
Experience working within client's machine learning and analytics ecosystem, including AWS and dbt, will significantly accelerate onboarding and enable rapid contribution to key initiatives.
Perficient is always looking for the best and brightest talent and we need you! We're a quickly-growing, global digital consulting leader, and we're transforming the world's largest enterprises and biggest brands. You'll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.
Responsibilities
  • Develop, validate, deploy, and monitor predictive and machine learning models to solve business challenges and support strategic decision-making.
  • Analyze large and complex datasets to identify trends, patterns, and opportunities for optimization.
  • Partner with business stakeholders, product owners, and cross-functional teams to understand requirements and deliver data-driven solutions.
  • Design and maintain scalable data pipelines and model workflows within cloud-based environments.
  • Perform data extraction, transformation, and analysis using advanced SQL techniques.
  • Collaborate with engineering and analytics teams to operationalize machine learning solutions and ensure production readiness.
  • Communicate analytical findings, model performance, and recommendations to both technical and non-technical audiences.
  • Contribute to best practices for data science, modeling, governance, and experimentation.

Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • 3+ years of experience developing and deploying predictive models using statistical and machine learning techniques.
  • Strong experience applying machine learning methodologies to solve business problems and improve organizational outcomes.
  • Advanced SQL skills with demonstrated experience querying, transforming, and analyzing large, complex datasets.
  • Hands-on experience with AWS cloud services for data storage, processing, and analytics.
  • Strong analytical and problem-solving skills with the ability to work independently and collaboratively.
  • Excellent verbal and written communication skills and the ability to effectively translate business requirements into data-driven solutions.
  • Proven experience partnering with cross-functional stakeholders and delivering actionable insights.
  • Passionate coders with 3-5 years of application development experience.
  • Client facing or consulting experience highly preferred.
  • Skilled problem solvers with the desire and proven ability to create innovative solutions.
  • Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to varied environments.
  • Future technology leaders- dynamic individuals energized by fast paced personal and professional growth.
  • Phenomenal communicators who can explain and present concepts to technical and non-technical audiences alike, including high level decision makers.
  • Bachelor's Degree in MIS, Computer Science, Math, Engineering or comparable major.
  • Solid foundation in Computer Science, with strong competencies in data structures, algorithms and software design.
  • Knowledge and experience in developing software using agile methodologies.
  • Proficient in authoring, editing and presenting technical documents.
  • Ability to communicate effectively via multiple channels (verbal, written, etc.) with technical and non-technical staff.
    Preferred Qualifications
  • Experience with Amazon SageMaker for model development, training, and deployment.
  • Experience using dbt for data transformation, modeling, and analytics engineering.
  • Experience working in healthcare, health insurance, or other highly regulated industries.
  • Knowledge of MLOps practices, model monitoring, and cloud-based deployment frameworks.

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $73,008 to $170,640. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview.
Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.
WHO WE ARE
Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers' expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients - the world's largest enterprises and biggest brands succeed.
WHAT WE BELIEVE
At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you'll become part of something truly special.
We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We're committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders... and we're not done yet.
Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.
Disability Accommodations:
Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.
Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
About Us
Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world's most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.