60,886 Data Professionals jobs in the United States
Data Engineer / Data Scientist
Posted today
Job Viewed
Job Description
Join my client at the forefront of cancer genomics and cloud computing to accelerate a cure for multiple myeloma. As a Data Engineer / Data Scientist, you'll help drive one of the world’s most impactful nonprofit research organizations by building scalable, secure, and cutting-edge infrastructure that powers global scientific discovery.
Why You Should Apply
- Shape cloud strategy and bioinformatics pipelines that support life-saving research.
- Collaborate with top engineers, researchers, and genomic scientists worldwide.
- Solve real-world problems at the intersection of cloud, DevOps, and cancer data.
- 100% remote position with high-impact, high-visibility work.
- Design, develop, and manage cloud-based infrastructure and workflows.
- Lead secure AWS architecture using best practices and compliance standards.
- Partner with researchers on genomics and machine learning projects.
- Automate reproducible computational pipelines using DevOps principles.
- Manage budgets, reporting, and stakeholder engagement across teams.
- 4+ years in AWS/cloud DevOps, bioinformatics, or data engineering.
- Proficient in Python, R, Bash, Terraform/CloudFormation.
- AWS Certified Solutions Architect preferred.
- Cancer genomics or biomedical research experience is a major plus.
We’d love to see your resume, but we don’t need it to have a conversation. Send us an email to and tell us why you’re interested. Or, feel free to email your resume. Please include Job #19308 .
Data Engineer / Data Scientist
Posted today
Job Viewed
Job Description
Join my client at the forefront of cancer genomics and cloud computing to accelerate a cure for multiple myeloma. As a Data Engineer / Data Scientist, you'll help drive one of the world’s most impactful nonprofit research organizations by building scalable, secure, and cutting-edge infrastructure that powers global scientific discovery.
Why You Should Apply
- Shape cloud strategy and bioinformatics pipelines that support life-saving research.
- Collaborate with top engineers, researchers, and genomic scientists worldwide.
- Solve real-world problems at the intersection of cloud, DevOps, and cancer data.
- 100% remote position with high-impact, high-visibility work.
- Design, develop, and manage cloud-based infrastructure and workflows.
- Lead secure AWS architecture using best practices and compliance standards.
- Partner with researchers on genomics and machine learning projects.
- Automate reproducible computational pipelines using DevOps principles.
- Manage budgets, reporting, and stakeholder engagement across teams.
- 4+ years in AWS/cloud DevOps, bioinformatics, or data engineering.
- Proficient in Python, R, Bash, Terraform/CloudFormation.
- AWS Certified Solutions Architect preferred.
- Cancer genomics or biomedical research experience is a major plus.
We’d love to see your resume, but we don’t need it to have a conversation. Send us an email to and tell us why you’re interested. Or, feel free to email your resume. Please include Job #19308.
Data Scientist/ Data Engineer
Posted today
Job Viewed
Job Description
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
**Position Summary :**
At BMS, digital innovation and Information Technology are central to our vision of transforming patients' lives through science. To accelerate our ability to serve patients around the world, we must unleash the power of technology. We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care. If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!
As the Data Scientist for the Clinical Data Ecosystem within Global Drug Development (GDD) IT at BMS, you will be part of the Drug Development IT team delivering platform, data, and analytics solutions for Global Biostatistics and Data Sciences, Clinical Data Management, and related domains such as Clinical Analytics, Site Selection, Feasibility, and Real-World Evidence.
**Key Responsibilities:**
+ Collaborate with Global Drug Development (GDD), Global Biometric & Data Science (GBDS) & Enterprise Data and Analytics Platform team organizations, to understand business needs, influence, shape and adopt data and technology strategy.
+ Hands-on Development Data Scientist Analyst that will be expected to ideate, design, develop, model and deploy advanced solutions
+ Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of Drug Development priorities, critical issues, and value levers
+ Agile problem-solving ability and desire to learn new things and continuously improve.
+ Gather, pre-process and explore large-scale structured and unstructured data from diverse sources.
+ Apply advanced statistical analysis, machine learning algorithms and predictive modelling techniques to extract insights and develop models that drive actionable recommendations
+ Conduct exploration data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems
+ Ability to simplify complex technical and scientific concepts for non-technical stakeholders.
+ Prior experience working in an Agile methodologies/Product based environment.
**Qualifications & Experience:**
+ Bachelor's degree in computer science, Information Technology, Life Sciences, or a related field. Advanced degree preferred.
+ Proven experience (typically 4+ years) in a data and analytics role, including direct development experience.
+ Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically React, Python, advanced SQL, Domino, AWS, GitHub)
+ Strong background in statistical analysis, machine learning, and predictive modelling techniques
+ Experience in handling and analyzing large-scale structured and unstructured data sets using SQL or similar technologies
+ Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps,Git) to Complex datasets is preferred
+ Demonstrated ability to develop and implement predictive models and machine learning algorithms
+ Experience working with complex datasets is highly desirable
+ Experience with cloud storage and compute infrastructure (e.g., AWS, Azure) and knowledge of automation and monitoring tools.
+ Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion.
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
**Compensation Overview:**
Princeton - NJ - US: $91,290 - $110,622
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.
**Uniquely Interesting Work, Life-changing Careers**
With a single vision as inspiring as Transforming patients' lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
**On-site Protocol**
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit careers.bms.com/ ( eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
**Company:** Bristol-Myers Squibb
**Req Number:** R
**Updated:** :05:51.976 UTC
**Location:** Princeton-NJ
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.
Data Engineer / Data Scientist (Norwalk)
Posted 1 day ago
Job Viewed
Job Description
Join my client at the forefront of cancer genomics and cloud computing to accelerate a cure for multiple myeloma. As a Data Engineer / Data Scientist, you'll help drive one of the worlds most impactful nonprofit research organizations by building scalable, secure, and cutting-edge infrastructure that powers global scientific discovery.
Why You Should Apply
- Shape cloud strategy and bioinformatics pipelines that support life-saving research.
- Collaborate with top engineers, researchers, and genomic scientists worldwide.
- Solve real-world problems at the intersection of cloud, DevOps, and cancer data.
- 100% remote position with high-impact, high-visibility work.
- Design, develop, and manage cloud-based infrastructure and workflows.
- Lead secure AWS architecture using best practices and compliance standards.
- Partner with researchers on genomics and machine learning projects.
- Automate reproducible computational pipelines using DevOps principles.
- Manage budgets, reporting, and stakeholder engagement across teams.
- 4+ years in AWS/cloud DevOps, bioinformatics, or data engineering.
- Proficient in Python, R, Bash, Terraform/CloudFormation.
- AWS Certified Solutions Architect preferred.
- Cancer genomics or biomedical research experience is a major plus.
Wed love to see your resume, but we dont need it to have a conversation. Send us an email to and tell us why youre interested. Or, feel free to email your resume. Please include Job #19308 .
Entry-Level Data Analyst/ Data Engineer/ Data Scientist
Posted 4 days ago
Job Viewed
Job Description
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
Candidates can benefit from skill enhancement if they fall into the below categories.
Candidates who Lack Experience or are freshers with No actual on Job experience with projects with clients Have had a break in careers Lack Technical Competency or skills being demanded by clients Different visa candidates (Like OPT/H4EAD/L2EAD ) who want to get employed and settle down in the USA please check the below links to see success outcomes of our candidates
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
REQUIRED SKILLS For Java /Software Programmers
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Project work on the skills
• Knowledge of Core Java , javascript , C++ or software programming
• Spring boot, AWS, Microservices, Docker, Jenkins and REST API's experience
• Excellent written and verbal communication skills
For data Science/Data Analyst Machine learning
REQUIRED SKILLS
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Project work on the technologies needed
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Knowledge of Statistics, Tableau, Powerbi, Snowflake, Databricks, Python, Computer Vision, data visualization tools
• Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis
Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. If not having the skills or hands on project work at client site then candidates can opt for skill enhancement to gain the required skills and project work. No third party candidates or c2c candidates
please only apply to the posting
No phone calls please. Shortlisted candidates would be reached out.
Scientific Data Engineer III (Data Scientist)
Posted 1 day ago
Job Viewed
Job Description
The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The mission of the Office of the Chief Technology Officer (CTO) is not only to provide state of the art engineering infrastructure to the Allen Institute as a whole, but to also address high-risk, high-reward questions in biology through AI.
We are seeking an independent and motivated data scientist in the Office of the CTO AI Applications group. This position will work closely with AI researchers, researcher scientists and engineering teams to build large AI/ML models for Biology and the computational infrastructure to support these models. This role works with diverse biological datatypes, including multi-omics data, microscopy data, in vivo and behavioral imaging data, electrophysiological data, and clinical data. The role is also expected to work collaboratively across all Allen Institute teams including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology.
At the Allen Institute, we believe that science is for everyone - and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.
We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
- Contribute to ML models that deepen our understanding of complex biological systems in health and disease, including data wrangling, data curation, and data validation for AI/ML models
- Lead data management, software infrastructure and AI/ML workflow best practices and policies
- Participate in institute-wide initiatives, workshops, and seminars to promote cross-disciplinary collaboration and knowledge sharing
- Promote open science through publishing papers and open-source code
- Advance community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problems
- Foster a collaborative and inclusive work environment that values diversity and encourages participation from team members with different voices, experiences, and backgrounds
Required Education and Experience
- Bachelor's in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field; or equivalent combination of degree and experience
- Minimum of 3 years of relevant work experience
- Demonstrated ability to design, implement and apply AI/ML models and/or the infrastructure to support large FMs trained on large-scale biological data
- Master's degree in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field
- 7+ years of experience developing and applying ML methods
- Strong publication record of innovative scientific accomplishments (both individual and team)
- Expertise in Python-based ML libraries and frameworks such as PyTorch, Jax, Pyro, NumPy, and Pandas
- Experience building and supporting the computational infrastructure needed for FMs
- Knowledge of data preprocessing, normalization, and integration techniques specific to biological and clinical datasets
- Strong problem-solving skills and ability to develop innovative computational approaches to address complex biological questions
- Proven ability to work independently and manage multiple projects simultaneously while meeting deadlines
- Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment
- Fine motor movements in fingers/hands to operate computers and other office equipment
- This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.
- Attendance and participation in national and international conferences as appropriate
- **Please note, this opportunity does not offerrelocation assistance**
- **Please note, this opportunity does not offer work visa sponsorship**
$128,050 - $160,050*
* Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.
Benefits
- Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide:
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.
Data Feed Engineer / Data Scientist
Posted 2 days ago
Job Viewed
Job Description
When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for.
**Job Description:**
Parsons is looking for a talented **Data Engineer / Data Scientist** to join our growing team! This role offers a unique opportunity to contribute to mission-critical projects by leveraging advanced data engineering and data science methodologies to enhance the efficiency and effectiveness of our data-driven operations.
**What You'll Be Doing** :
+ Support large-scale data ingestion into our AWS cloud infrastructure
+ Ensuring the efficient and secure ingestion, normalization, and analysis of vast amounts of data to support our advanced analytics and decision-making processes.
+ Designing and implementing robust data pipelines to ingest and process large volumes of data from diverse sources into our AWS cloud environment
+ Work closely with cross-functional teams to develop and maintain data models, perform data normalization, and ensure data quality and integrity
+ Interact with various stakeholders and team members to ensure that all data solutions meet mission requirements and adhere to best practice
**What Required Skills You'll Bring** :
+ 3+ years of experience in data engineering or data science, along with a bachelor's degree in computer science, Data Science, or a related field
+ **Active TS/SCI with CI Poly**
+ Deep understanding of data engineering best practices, cloud technologies, and data analysis techniques, as well as proficiency in relevant programming languages and tools.
+ Strong analytical and problem-solving skills
**Security Clearance Requirement:**
An active Top Secret SCI w/Polygraph security clearance is required for this position.
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.
Salary Range: $108,700.00 - $190,200.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to .
About Us
Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.
For more about Parsons, visit parsons.com and follow us on Facebook, Twitter, LinkedIn, and YouTube.
Be The First To Know
About the latest Data professionals Jobs in United States !
Data Scientist (Big Data Engineer) 2
Posted 4 days ago
Job Viewed
Job Description
Solicitation Reference Number 302CSD2504 Customer Name Office of the Attorney General of Texas Category Data/Database Administration Customer Entity Name ttorney General, Office of the Title Data Scientist (Big Data Engineer)
Level Data Scientist (Big Data Engineer) 2 Estimated Hours 1,000 SSR Status Posted Number of Positions 2 Status New # of Resumes Allowed 1 Candidates Submitted Full/Part Time Full Time
IT STAFFING SERVICES SOLICITATION UNDER
DEPARTMENT OF INFORMATION RESOURCES
IT STAFF AUGMENTATION CONTRACT (ITSAC)
Solicitation Reference Number: 302CSD2504 Working Title: Data Scientist Title/Level: Data Scientist (Big Data Engineer) 2 Category: Data/Database Administration Full Time
I. DESCRIPTION OF SERVICES
Office of the Attorney General of Texas requires the services of 2 Data Scientist (Big Data Engineer) 2 , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas .
ll work products resulting from the project shall be considered "works made for hire " and are the property of the Office of the Attorney General of Texas and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Office of the Attorney General of Texas will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
The Office of the Attorney General's Chief Data Office (CDO) is seeking a dynamic and visionary Data Scientist to join our team and support our System Modernization efforts for the Child Support Division. This individual must be able to work in a heavily technical environment, preparing and optimizing data for Snowflake and utilizing SAS Viya to build comprehensive federal and state reports. You will play a pivotal role in transforming, analyzing, and leveraging our data assets to drive strategic initiatives and business outcomes. You must be comfortable analyzing data, developing predictive modeling algorithms, and can communicate your findings through visualizations enabling the discovery of solutions to business problems. As a Data Scientist your role will be impactful, visible, and rewarding.
Responsibilities will include:
Data Conversion and Reporting Support for System Modernization Efforts Data Transformation and Integration : Prepare and optimize data for migration to Snowflake and SAS Viya platforms, ensuring seamless integration and functionality by creating data transformation processes using ETL, SQL, Python, and R. Develop Federal and State Reports : Build comprehensive reports that meet federal and state requirements using Snowflake and SAS Viya, ensuring accuracy and compliance. Scrum Team Collaboration : Work as a member of an agile team to deliver new features and functions, delivering best-in-class value-based technology solutions. Data Quality Management: Develop and implement databases, ETL processes, data collection systems, and data quality strategies that optimize statistical efficiency, accuracy, and quality. Problem Examination and Resolution : Examine problems within the Data Intelligence space using ETL, Lambda, and Glue, and implement necessary changes to ensure data quality improvement. Data Analytics and Insights: Utilize advanced data analytics techniques to support strategic decision-making, ensuring data integrity, quality, and timeliness of results.
The above job description and requirements are general in nature and may be subject to change based on the specific needs and requirements of the organization and project.
II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 4 Required Proven experience in data conversion and report building using Snowflake and SAS Viya. 4 Required Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. 4 Required Experience working with data analytics and business intelligence tools. 4 Required Experience working in a Scrum or Agile development environment. 4 Required Proficiency in ETL processes and tools such as AWS Glue and Lambda. 4 Required Strong knowledge of database management and data warehousing concepts. 4 Required Expertise in SQL for data querying and manipulation. 4 Required Proven experience in data conversion and report building using Snowflake and SAS Viya. 4 Required Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. 4 Required Experience working with data analytics and business intelligence tools. 4 Required Experience working in a Scrum or Agile development environment. 4 Required Proficiency in ETL processes and tools such as AWS Glue and Lambda.
III. TERMS OF SERVICE
Services are expected to start 11/12/2024 and are expected to complete by 08/31/2025 . Total estimated hours per Candidate shall not exceed 1000 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.
IV. WORK HOURS AND LOCATION
Services shall be provided during normal business hours unless otherwise coordinated through the Office of the Attorney General of Texas . Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM , excluding State holidays when the agency is closed.
The primary work location(s) will be at OAG State Office located at 5500 E. Oltorf St, Austin, TX 78741 . The working position is Telework . Any and all travel, per diem, parking, and/or living expenses shall be at the Candidate's and/or Vendor's expense. Office of the Attorney General of Texas will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.
The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Office of the Attorney General of Texas .
V. OTHER SPECIAL REQUIREMENTS
The candidate(s) will be subject to a criminal background check that includes a DPS/FBI background check and fingerprinting.
Data Scientist (Big Data Engineer) Specialist
Posted 4 days ago
Job Viewed
Job Description
Solicitation Reference Number
Customer Name
Texas Health and Human Services Commission
Category
Data/Database Administration
Customer Entity Name
Health and Human Services Commission
Title
Data Scientist (Big Data Engineer)
Level
Specialist
Posted Date
6/21/2024
Estimated Hours
360
SSR Status
Posted
Number of Positions
2
Status
New
# of Resumes Allowed
1
Candidates Submitted
Full/Part Time
Full Time
IT STAFFING SERVICES SOLICITATION UNDER
DEPARTMENT OF INFORMATION RESOURCES
IT STAFF AUGMENTATION CONTRACT (ITSAC)
RFO DIR-CPO-TMP-445
Solicitation Reference Number: Working Title: Data Scientist (Big Data Engineer) Specialist Title/Level: Data Scientist (Big Data Engineer) Specialist Category: Data/Database Administration Full Time
I. DESCRIPTION OF SERVICES
Texas Health and Human Services Commission requires the services of 2 Data Scientist (Big Data Engineer) Specialist , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) Specialist, Data/Database Administration and the specifications outlined in this document for the Texas Health and Human Services Commission .
All work products resulting from the project shall be considered "works made for hire " and are the property of the Texas Health and Human Services Commission and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Health and Human Services Commission will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
Assessment, analysis, planning, remediation, and fraud analytics road mapping services. Inventory and evaluation of systems, data, processes, and solutions.
One position will be part time for 72 hours and the other one will be full time with the full 360 hours.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 10 Required Big Data, AI/Client, Data Science workflows and automation
III. TERMS OF SERVICE
Services are expected to start 07/22/2024 and are expected to complete by 08/30/2024 . Total estimated hours per Candidate shall not exceed 360 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.
IV. WORK HOURS AND LOCATION
Services shall be provided during normal business hours unless otherwise coordinated through the Texas Health and Human Services Commission . Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM , excluding State holidays when the agency is closed.
The primary work location(s) will be at 4601 Guadalupe, Austin, Texas 78751 . The working position is Telework . Any and all travel, per diem, parking, and/or living expenses shall be at the Candidate's and/or Vendor's expense. Texas Health and Human Services Commission will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.
The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Texas Health and Human Services Commission .
V. OTHER SPECIAL REQUIREMENTS
TERM OF SERVICE (Required)
Services are expected to start on or around July 22, 2024 and are expected to completed by August 31, 2024. Total estimated hours per Candidate shall not exceed 360 hours for FY24. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.
WORK HOURS AND LOCATION (Required)
A) Services shall be provided during normal business hours unless otherwise coordinated through the Agency. Normal business hours are Monday through Friday from 8:00 a.m. through 5:00 p.m., excluding Texas state holidays when the agency is closed.
B) The primary work location will be 4601 Guadalupe, Austin, Texas 78751.
Position will be remote. Program will allow candidates who are within the state (Any location within the State of Texas).
C) Any and all travel, per diem, parking, and/or living expenses shall be at the worker's and/or Vendor's expense.
D) The worker may be required to work remotely at HHSC discretion, up to 100 percent of the time.
E) The worker may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through the Agency.
OTHER SPECIAL REQUIREMENTS
Interviews will be conducted: (check all that apply)
By Phone
In person
Through Microsoft Teams
IMPORTANT INFORMATION
vendor's submission of a candidate may be disqualified if :
- The vendor fails to add the candidate to competitive solicitation, or RFR, in the DIR ITSAC Portal.
- Another vendor submits the same candidate for the same competitive solicitation, also known as a request of resume (RFR).
- The vendor submits more than one candidate for the same competitive solicitation, or RFR.
- The vendor submits a candidate after the response period for a competitive solicitation, or RFR.
- The vendor fails to format the email subject line properly, when submitting a candidate for a competitive solicitation, or RFR:
- Proper Formatting: Solicitation Number, Vendor Name, Candidate First and Last Name, Position Type and Level
- Example: , Sanders Technologies, Jane Doe, Project Lead 3
- The vendor fails to follow any other instructions noted in the competitive solicitation, or RFR.
Data Scientist (Big Data Engineer) Specialist
Posted 4 days ago
Job Viewed
Job Description
Solicitation Reference Number Customer Name Texas Health and Human Services Commission Category Data/Database Administration Customer Entity Name Health and Human Services Commission Title Data Scientist (Big Data Engineer) Level Specialist Posted Date 4/7/2025 Estimated Hours 400 SSR Status Posted Number of Positions 1 Status New # of Resumes Allowed 1 Candidates Submitted Full/Part Time Full Time
IT STAFFING SERVICES SOLICITATION UNDER
DEPARTMENT OF INFORMATION RESOURCES
IT STAFF AUGMENTATION CONTRACT (ITSAC)
Solicitation Reference Number: Working Title: Data Scientist (Big Data Engineer) Specialist Title/Level: Data Scientist (Big Data Engineer) Specialist Category: Data/Database Administration Full Time NTE Rate:To Be Determined
I. DESCRIPTION OF SERVICES
Texas Health and Human Services Commission requires the services of 1 Data Scientist (Big Data Engineer) Specialist , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) Specialist, Data/Database Administration and the specifications outlined in this document for the Texas Health and Human Services Commission .
ll work products resulting from the project shall be considered "works made for hire " and are the property of the Texas Health and Human Services Commission and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Health and Human Services Commission will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
The Specialist position is rarely selected and should only be considered after all other levels have been exhausted. The Specialist position is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. A data scientist (big data engineer) is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs and builds AI tools that automate certain processes within the company.
Data engineer needed for Fraud Analytics roadmap implementation, including standing up new data engineering practices and supporting data analysts and data scientists.
II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 10 Required Skill in designing, building, and managing efficient, scalable, and reliable data pipelines to support data integration efforts. Skill in Python and SQL. Experience with Databricks on Azure preferred.
III. TERMS OF SERVICE
Services are expected to start 05/05/2025 and are expected to complete by 08/31/2025 . Total estimated hours per Candidate shall not exceed 400 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.
IV. WORK HOURS AND LOCATION
Services shall be provided during normal business hours unless otherwise coordinated through the Texas Health and Human Services Commission . Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM , excluding State holidays when the agency is closed.
The primary work location(s) will be at 4601 Guadalupe, Austin, Texas 78751 . The working position is On Site . Any and all travel, per diem, parking, and/or living expenses shall be at the Candidate's and/or Vendor's expense. Texas Health and Human Services Commission will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.
The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Texas Health and Human Services Commission .
V. OTHER SPECIAL REQUIREMENTS
TERM OF SERVICE (Required)
Services are expected to start on or around May 5, 2025 and are expected to completed by August 31, 2025. Total estimated hours per Candidate shall not exceed 400 hours for FY25.
Initial Purchase Order Term:
ny Purchase Order resulting from this Request for Resumes is effective on the date of issuance and expires on the last day of the State fiscal year in which the Purchase Order was issued, unless sooner stated in the Purchase Order or unless sooner terminated, renewed, or extended as provided in the Purchase Order.
Renewal Option(s):
HHSC, at its sole discretion, may renew the Purchase Order for up to three, one-year optional renewals. Such renewal(s), if exercised, shall be subject to all the requirements and terms and conditions of the Purchase Order.
WORK HOURS AND LOCATION (Required)
) Services shall be provided during normal business hours unless otherwise coordinated through the Agency. Normal business hours are Monday through Friday from 8:00 a.m. through 5:00 p.m., excluding Texas state holidays when the agency is closed.
B) The primary work location will be 4601 Guadalupe, Austin, Texas 78751.
Position is ONSITE at the location listed above (NO REMOTE WORK). Program will only accept LOCAL ONLY candidates for this position.
C) Any and all travel, per diem, parking, and/or living expenses shall be at the worker's and/or Vendor's expense.
D) The worker may be required to work remotely at HHSC discretion, up to 100 percent of the time.
E) The worker may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through the Agency.
OTHER SPECIAL REQUIREMENTS
Interviews will be conducted: (check all that apply)
By Phone
In person
Through Microsoft Teams
IMPORTANT INFORMATION
vendor's submission of a candidate may be disqualified if :
The vendor fails to add the candidate to competitive solicitation, or RFR, in the DIR ITSAC Portal. Another vendor submits the same candidate for the same competitive solicitation, also known as a request of resume (RFR). The vendor submits more than one candidate for the same competitive solicitation, or RFR. The vendor submits a candidate after the response period for a competitive solicitation, or RFR. The vendor fails to format the email subject line properly, when submitting a candidate for a competitive solicitation, or RFR:
- Proper Formatting: Solicitation Number, Vendor Name, Candidate First and Last Name, Position Type and Level
- Example: , Sanders Technologies, Jane Doe, Project Lead 3
Initial Purchase Order Term:
ny Purchase Order resulting from this Request for Resumes is effective on the date of issuance and expires on the last day of the State fiscal year in which the Purchase Order was issued, unless sooner stated in the Purchase Order or unless sooner terminated, renewed, or extended as provided in the Purchase Order.
Renewal Option(s):
HHSC, at its sole discretion, may renew the Purchase Order for up to three, one-year optional renewals. Such renewal(s), if exercised, shall be subject to all the requirements and terms and conditions of the Purchase Order.