4,282 Scientists jobs in the United States

COMPUTER SCIENTISTS

Job Type: Full Time

Level: Mid, Senior

Location: Fort Meade / Annapolis Junction, MD area

Security Clearance: TS/SCI with Appropriate Agency Polygraph

Tasking:

• Develop software drivers

• Develop software applications

• Process digital signals

• Develop Client/server applications

• Analyze and implement Legacy and current processor technology

• Analyze and implement Operating systems, architectures, and interfaces

• Develop code using Assembly and high-level programming languages

• Reverse engineer software/code

• Develop embedded software

• Communicate status of work

• Peer review software

• Moderate software peer reviews

• Lead a Software development team and ensure work is completed in accordance with the - constraints of the technical process being used on any particular project

• Communicate plans and progress, identify potential problems, and recommend viable solutions

Skills & Experience:

• Python, C, C++, Lynx

• Integrated product experience

• Product life cycle management

General Qualifications:

• Computer Scientist Level 1 requires a Bachelor’s degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 3-5 years of experience in software and firmware design, development, and test.

• Computer Scientist Level 2 requires a Bachelor’s degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 5-10 years of experience in software and firmware design, development, and test.

• Computer Scientist Level 3 requires a Bachelor’s degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 10+  years of experience in software and firmware design, development, and test.

• Four (4) years of additional experience in software and firmware design, development, and test may be substituted for a bachelor’s degree.

• A master’s degree in a relevant field of expertise may be substituted for two (2) years of experience.

About Us!

Artera Technologies, LLC is an energetic, employee-focused, woman-owned business headquartered in Ellicott City, MD.  Founded in 2012, Artera offers innovative software and systems engineering solutions to the Intelligence Community (IC).  We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.  We hire and retain top talent to deliver leading-edge solutions to help solve our customer’s mission challenges.  Artera was founded with the conviction that organizational culture is the key to delivering powerful solutions.  Since 2012, our tight-knit team of tech professionals have committed to our core values: Integrity, Customer Mission Success, and Employee Growth & Engagement.

Ready to make a difference?

With a large variety of projects and contracts we can find the right fit—skills, growth opportunities, and personality—for each of our employees.  To apply, please visit or email your resume to  

Artera Technologies, LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.

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COMPUTER SCIENTISTS
Job Type: Full Time
Level: Mid, Senior
Location: Fort Meade / Annapolis Junction, MD area
Security Clearance: TS/SCI with Appropriate Agency Polygraph

Tasking:

• Develop software drivers
• Develop software applications
• Process digital signals
• Develop Client/server applications
• Analyze and implement Legacy and current processor technology
• Analyze and implement Operating systems, architectures, and interfaces
• Develop code using Assembly and high-level programming languages
• Reverse engineer software/code
• Develop embedded software
• Communicate status of work
• Peer review software
• Moderate software peer reviews
• Lead a Software development team and ensure work is completed in accordance with the - constraints of the technical process being used on any particular project
• Communicate plans and progress, identify potential problems, and recommend viable solutions

Skills & Experience:

• Python, C, C++, Lynx
• Integrated product experience
• Product life cycle management

General Qualifications:

• Computer Scientist Level 1 requires a Bachelor's degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 3-5 years of experience in software and firmware design, development, and test.
• Computer Scientist Level 2 requires a Bachelor's degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 5-10 years of experience in software and firmware design, development, and test.
• Computer Scientist Level 3 requires a Bachelor's degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 10+ years of experience in software and firmware design, development, and test.
• Four (4) years of additional experience in software and firmware design, development, and test may be substituted for a bachelor's degree.
• A master's degree in a relevant field of expertise may be substituted for two (2) years of experience.

About Us!
Artera Technologies, LLC is an energetic, employee-focused, woman-owned business headquartered in Ellicott City, MD. Founded in 2012, Artera offers innovative software and systems engineering solutions to the Intelligence Community (IC). We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more. We hire and retain top talent to deliver leading-edge solutions to help solve our customer's mission challenges. Artera was founded with the conviction that organizational culture is the key to delivering powerful solutions. Since 2012, our tight-knit team of tech professionals have committed to our core values: Integrity, Customer Mission Success, and Employee Growth & Engagement.

Ready to make a difference?
With a large variety of projects and contracts we can find the right fit-skills, growth opportunities, and personality-for each of our employees. To apply, please visit or email your resume to (email protected).

Artera Technologies, LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!

T-Mobile is America's supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Senior Data Scientists located in Bellevue, WA will lead the application of machine learning techniques and statistical methods to solve business problems.

Position duties and responsibilities include, but are not limited to:

• Drive the entire machine learning (ML) lifecycle, which includes conducting problem framing, data collection, exploratory data analysis, model development, deployment, and performance measurement.

• Extract, prepare and model large, complex data sets.

• Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company.

• Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members.

• Leverage geospatial data.

• Work with engineering teams to implement and improve machine learning pipelines and production-ready models.

• Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week. No additional national or international travel is anticipated.

Skill requirements:

• (1) Leading requirements gathering, problem definition, exploratory data analysis, and Machine Learning modeling and deployment to solve operational issues;

• (2) Applying Statistical and Machine Learning modeling using Hypothesis Testing, Bayesian Modeling, Generalized Linear Models, Decision trees, Random Forest, Clustering, and Natural Language Processing;

• (3) Developing Machine Learning model pipelines in Python using Pandas, Matplotlib, Seaborn, Scikit-Learn, and Gensim; and in R using Datatable, Ggplot2, GLM, Caret, BRMS, and CMDStan;

• (4) Working with SQL to extract and explore large scale data to create datasets to augment operations and decision-making;

• (5) Working cross-functionally to develop and deploy Machine Learning Models in production environment; and

• (6) Preparing project documentation to highlight methodologies and recommendations using writeups, graphs, and presentations to streamline and enhance business decision-making.

Experience and education requirements:

PRIMARY REQUIREMENTS: Master's degree in Statistics, Information Management, or related, and 3 years of relevant work experience.

ALTERNATIVE REQUIREMENTS: Bachelor's degree in Statistics, Information Management, or related, and 5 years of relevant work experience.

Additional:

• Location: Bellevue, WA

• This position is eligible for the employee referral program.

• At least 18 years of age

• Legally authorized to work in the United States

Travel :
Travel Required (Yes/No): No

DOT Regulated :
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

How to apply:

• Visit

• Create a candidate profile, and apply to REQ328206.

OTHER: Work hours: 40 hours/week. Washington Pay Range: $183,581.00 to $186,400.00/year.

The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives. And since we are ALL owners, EVERY employee at T-Mobile is eligible for an Annual Stock Grant. For information about T-Mobile's amazing benefits, check out

Candidate's pay will be based on various factors, such as work location, qualifications, and experience. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out .

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing or calling 1- . Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

Job Title: ( Data Scientists Modeling)

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.

Job Description
We are seeking a talented and driven Data Scientist to join our team. In this role, you will be instrumental in transforming real-world data into actionable insights and innovative solutions. You will work across the entire data science lifecycle, from understanding complex business challenges to deploying robust models that drive impact. - What You'll Do: - Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling. - Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses. - Translate complex business questions and challenges into well-defined data science problems and analytical tasks. - Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting). - Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring. - Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions. - Iterate on models and approaches based on performance feedback and evolving business requirements. - Stay up-to-date with the latest advancements in data science, machine learning, and relevant technologies.

Skills Required:
- Demonstrated ability to deal with and process data from real-world sources. - Experience performing Exploratory Data Analysis (EDA). - Experience with model development (statistical modeling, machine learning). - Familiarity with the process of deploying models into production or working alongside teams that do. - Proven ability to translate business questions into data-driven problems. - Ability to translate data analysis results and model insights into clear, business-oriented solutions. - Proficiency in at least one major programming language used in data science (e.g., Python, R).

Skills Preferred:
- Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP). - Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

Experience Required:
- Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).

Experience Preferred:
- Experience in Auto Industry

Education Required:
Master's degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

Education Preferred:
PhD in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

Additional Information:
Hybrid now, but it can be changed to onsite if corporate requires. 1 day a week now, but it can be changed.

Location : ( Dearborn , MI )

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."
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at

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

08th July, 2025

Data Scientists Analysts #1031220
Job Description:

• Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts.
• That's where Global Data Insight & Analytics makes an impact.
• We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways.
• Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
• In this position.company team, part of Sales and Services Data and Analytics (SSDA) department in company's Global Data, Insight and Analytics (GDI&A) organization, is looking for a highly skilled Data Scientist.
• This role will be a member of RAV (Re-Acquired Vehicle) analytics team supporting all stages of RAV analysis from problem formulation, model /analytical framework development, evaluation, to model deployment to help our company and FCSD achieve RAV objectives.
• The FCSA RAV Analytics team applies advanced quantitative methods and systematic econometrics and AI/ML /LLM models to derive insights and solve a wide variety of challenging problems in various area of FCSD: RAV forecast, RAV count/spend monitoring/trend study, RAV root cause study, RAV reduction analytical support/evaluation, quality action effectiveness on RAV, VOR/uptime, early quality detection.through analyzing vast amounts of data including RAV, quality, repair orders, repeat visits, parts order and supply, service, warranty claims, recall.etc.
• The deep-dive and advanced analytics/quantification analysis supported by this role will be instrumental in supporting FCSD's business objectives and transformation through data-driven decision-making.

Skills Required:

• Python
• GCP
• SQL
• Data Analysis

Experience Required:

• Master's degree in Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field or a combination of education and equivalent work experience
• 3+ years of hands-on experience on a broad range of analytical techniques including forecasting, regression, and AI/ML/LLM methodologies
• Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
• 3+ years of proficient experience in training, evaluating, and fine-tuning a variety of machine learning models, ensuring optimal performance and reliability
• 3+ years of experience and proficient in programming languages such as Python for data manipulation, analysis, and model development
• 3+ years of experience in processing large, high-dimensional structured and unstructured data, including thorough data preprocessing, data cleaning, and feature engineering to prepare datasets for model training and evaluation

Experience Preferred:

• D. in a quantitative field such as Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field
• 3+ experience GCP (Google Cloud Platform): Vertex AI, Big Query, GCS (Google Cloud Storage), Google Cloud SQL, Looker studio
• 3+ year of post-graduate work experience in auto industry involving complex quantitative analytics and modeling
• 5+ years of work experience with Python and SQL
• 5+ years of work experience in big data manipulation, statistical analysis, modeling, optimization, AI/ML/LLM.
• Curious, high level of initiative, detail-oriented and ability to multi-task
• Fast learning in theoretical modeling and coding
• Strong problem formulation and problem solving skills
• Comfortable working in an environment where problems are not always well-defined

Education Required:

• Master's Degree

Education Preferred:

• Doctorate

Additional Information:

• support regional CSM (Customer Satisfaction Model) model framework design/development, model maintenance, model enhancement and model daily monitoring using Looker Studio.
• Support RAV annual count forecast taking into consideration of various factors such as brand, fuel type, launch type, new car sales, and macro environment. in addition to various types of RAV origination.
• Support RAV Root Cause analysis by studying repair order and warranty claim history to derive and identify potential drivers/trend for RAV
• Conduct various deep-dive analysis on RAV vehicles to help identify/detect early indication of RAV and uncover/provide insights to business to prevent/reduce RAV
• Conduct quick turn-around studies to answer frequent/various/urgent business requests by mining, managing, and exploring a variety of data sources and extracting/deriving insights from structured and unstructured data sets that are often very large and high-dimensional
• Explore/apply the most relevant quantitative modeling techniques and tools in statistical analysis, econometrics, operation research/optimization, AI/ML/LLM techniques to a variety of real-world business problems within FCSD focusing on improving RAV and service quality
• Ensure overall quality of the data and solutions throughout the analytics development process
• Maintain and enhance existing quantitative models supporting FCSD daily decisions
• Integrate validation result and visualize analysis/prediction result through visualization tools to provide qualitative/quantitative overview
• Interact/collaborate effectively cross-functionally with a variety of architect, project manager, DE, SE, and other data scientists to test data and model pipeline, validate pipeline output to ensure successful model launch into production environment to maximize business value delivery
• Independently and clearly communicating and presenting/interpreting models and analytical results

Additional Info:

At FastTek Global, Our Purpose is Our People and Our Planet . We come to work each day and are reminded we are helping people find their success stories . Also, Doing the right thing is our mantra . We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years !
FastTek Global is financially strong, privately held company that is 100% consultant and client focused .
We've differentiated ourselves by being fast, flexible, creative and honest . Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Workplaces in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021 , 2022 and 2023!
To view all of our open positions go to: Follow us on Twitter: Follow us on Instagram: Find us on LinkedIn: You can become a fan of FastTek on Facebook:

13th June, 2025

Data Scientists Modeling #1029532
Job Description:
About the Role:

• We are seeking a talented and driven Data Scientist to join our team.
• In this role, you will be instrumental in transforming real-world data into actionable insights and innovative solutions.
• You will work across the entire data science lifecycle, from understanding complex business challenges to deploying robust models that drive impact.

What You'll Do:

• Acquire, clean, and process messy, real-world data from various sources to prepare it for analysis and modeling.
• Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, uncover hidden insights, and formulate hypotheses.
• Translate complex business questions and challenges into well-defined data science problems and analytical tasks.
• Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering, forecasting).
• Collaborate closely with engineering and product teams to deploy models into production environments, ensuring scalability, reliability, and performance monitoring.
• Communicate findings and model results clearly and effectively to technical and non-technical stakeholders, translating complex data analysis results into actionable business recommendations and solutions.
• Iterate on models and approaches based on performance feedback and evolving business requirements.
• Stay up to date with the latest advancements in data science, machine learning, and relevant technologies.

Skills Required:

• Demonstrated ability to deal with and process data from real-world sources.
• Experience performing Exploratory Data Analysis (EDA).
• Experience with model development (statistical modeling, machine learning).
• Familiarity with the process of deploying models into production or working alongside teams that do.
• Proven ability to translate business questions into data-driven problems.
• Ability to translate data analysis results and model insights into clear, business-oriented solutions.
• Proficiency in at least one major programming language used in data science (e.g., Python, R).

Skills Preferred:

• Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP).
• Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

Experience Required:

• Experience with data manipulation and analysis libraries/tools (e.g., Pandas, SQL).

Experience Preferred:

• Experience in Auto Industry

Education Required:

• Master's degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

Education Preferred:

• PhD in Statistics, Mathematics, Computer Science, or a closely related quantitative field.

Additional Information:

• Hybrid now, but it can be changed to onsite if corporate requires. 1 day a week now, but it can be changed.

Additional Info:

At FastTek Global, Our Purpose is Our People and Our Planet . We come to work each day and are reminded we are helping people find their success stories . Also, Doing the right thing is our mantra . We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years !
FastTek Global is financially strong, privately held company that is 100% consultant and client focused .
We've differentiated ourselves by being fast, flexible, creative and honest . Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019 , 2020, 2021, 2022, and 2023!
To view all of our open positions go to: Follow us on Twitter: Follow us on Instagram: Find us on LinkedIn: You can become a fan of FastTek on Facebook:

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Uber to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.

Company Name: Uber

Job Description

About the Team Across thousands of storefronts each with thousands of products, Uber Grocery needs to decide exactly what products to show you, how to price them, and how to balance the tricky tradeoffs that come with delivery logistics. We build systems that deeply understand our products, users, and merchants to optimize the marketplace for all parties. Grocery & Retail is one of Uber's biggest new bets. Since launching in 2020, we've achieved an annual run rate of $7 billion in global gross bookings and integrated two strategic acquisitions, Cornershop and Drizly. Our team builds across the end-to-end grocery experience, including consumer growth, fulfillment flows, and catalog management.
What you will do
- Work closely with ML teams to design algorithms and uncover opportunities to improve ranking and personalization.
- Design and analyze large-scale experiments on grocery users in the Eats app to discover insights that improve our discovery platforms.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behaviors to inform future product strategies.
- Present findings to senior management to inform business decisions.
Basic Qualifications
- 5+ years of industry experience working in personalization or search
- Experience in algorithm prototyping and development.
- Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
- Ability to use Python/PySpark for exploratory data analysis and modeling.
- Strong communication skills across technical, non-technical, and executive audiences.
Preferred Qualifications
- Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Experience in a technical leadership role.
- Experience in modern deep learning architectures and probabilistic models.
- Experience in modern generative AI, such as transformer architectures, diffusion models and prompting.
- Experience guiding and mentoring other Scientists.
- Excellent communication skills across technical, non-technical, and executive audiences.
For New York, NY-based roles:
The base salary range for this role is USD$74,000 per year - USD 193,500 per year.
For San Francisco, CA-based roles:
The base salary range for this role is USD 174,000 per year - USD 193,500 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link:

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
When you join us at Thermo Fisher Scientific, you'll be part of an inquisitive team that shares your passion for exploration and discovery. With revenues of more than $40 billion and the largest investment in R&D in the industry, we give our people the resources and chances to create significant contributions to the world.
**Discover Impactful Work:**
The Manager, Technical Application Support Scientists will lead an ambitious team responsible for delivering world-class remote pre and post-sales technical support for Thermo Fisher Scientific products. You will ensure flawless daily operations, foster an inclusive and collaborative environment, and strictly adhere to our high standards of service excellence.
**A Day in the Life:**
+ Guide and develop direct reports who supervise frontline employees
+ Build relationships with the business units we support
+ Engage product management to foster coordinated business relationships for continuous improvement
+ Manage operations and project planning, including integrations
+ Lead alignment efforts across global regions
**Keys to Success:**
**Education**
+ Bachelor's degree in Life Sciences or Engineering required with 7+ years of experience (equivalent combinations of education and relevant work experience may be considered).
**Experience**
+ 5+ years of people management experience preferred.
+ Proven track record in directly serving customers.
+ Prior experience in Technical Application Support and the Biotechnology industry preferred.
**Knowledge, Skills, Abilities**
+ Demonstrated leadership and people development skills
+ Excellent presentation skills
+ Effective communication skills, both oral and written
+ Ability to prioritize effectively
+ Outstanding problem-solving ability
+ Computer literacy, including spreadsheet, database, word processing, and Internet applications
**This position does not offer relocation benefits.**
**Benefits:**
We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!
**Compensation and Benefits**
The salary range estimated for this position based in New York is $3,800.00- 140,675.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
+ A choice of national medical and dental plans, and a national vision plan, including health incentive programs
+ Employee assistance and family support programs, including commuter benefits and tuition reimbursement
+ At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
+ Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
+ Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
When you join us at Thermo Fisher Scientific, you'll be part of an inquisitive team that shares your passion for exploration and discovery. With revenues of more than $40 billion and the largest investment in R&D in the industry, we give our people the resources and chances to create significant contributions to the world.
**Discover Impactful Work:**
The Manager, Technical Application Support Scientists will lead an ambitious team responsible for delivering world-class remote pre and post-sales technical support for Thermo Fisher Scientific products. You will ensure flawless daily operations, foster an inclusive and collaborative environment, and strictly adhere to our high standards of service excellence.
**A Day in the Life:**
+ Guide and develop direct reports who supervise frontline employees
+ Build relationships with the business units we support
+ Engage product management to foster coordinated business relationships for continuous improvement
+ Manage operations and project planning, including integrations
+ Lead alignment efforts across global regions
**Keys to Success:**
**Education**
+ Bachelor's degree in Life Sciences or Engineering required with 7+ years of experience (equivalent combinations of education and relevant work experience may be considered).
**Experience**
+ 5+ years of people management experience preferred.
+ Proven track record in directly serving customers.
+ Prior experience in Technical Application Support and the Biotechnology industry preferred.
**Knowledge, Skills, Abilities**
+ Demonstrated leadership and people development skills
+ Excellent presentation skills
+ Effective communication skills, both oral and written
+ Ability to prioritize effectively
+ Outstanding problem-solving ability
+ Computer literacy, including spreadsheet, database, word processing, and Internet applications
**This position does not offer relocation benefits.**
**Benefits:**
We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!
**Compensation and Benefits**
The salary range estimated for this position based in New York is $3,800.00- 140,675.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
+ A choice of national medical and dental plans, and a national vision plan, including health incentive programs
+ Employee assistance and family support programs, including commuter benefits and tuition reimbursement
+ At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
+ Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
+ Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.