computer scientist

Tekla Research, Inc.

<p>Desired Functions: Data Engineer and Analysis Liaison, Computer/Data Scientist, System Analyst, or Engineer, Junior level.<br>
<br>
Works for the Data Division under the NAVAIR Mission Systems Test and Evaluation Department (MSTED), physically recovering data storage devices at the end of test events, downloading, formatting, confirming data integrity, storing in proper locations, communicating with and coordinating with different test teams, and as directed filtering or running analysis tools.<br>
<br>
A bachelor's degree is not required for this position.<br>
<br>
Engineering Technician/Junior Level:<br>
Perform standardized or prescribed assignments involving a sequence of related operations, follow standard work methods/processes/instructions on recurring assignments. Extract engineering data from various prescribed but non-standardized sources, processing the data following well-defined methods, and presenting the data in prescribed form.<br>
<br>
Computer Scientist/Junior Level:<br>
Analyze science, engineering, business, and other data processing problems to develop and implement solutions to complex applications problems, system administration issues, or network concerns. Perform systems management and integration functions, improve existing computer systems, and review computer system capabilities, workflow, and schedule limitations. May analyze or recommend commercially available software.<br>
<br>
Data Scientist/Junior Level:<br>
Identifying the methods, processes, algorithms, tools, and systems to extract and interpret findings from varied structured and unstructured data sets related to the data science lifecycle. Work also involves the development of algorithms and/or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings. The primary requirements of the work are applying<br>
professional knowledge of computer science and mathematical and statistical theories, techniques, and methods to gather, analyze, design and construct new processes for modeling, interpret, and/or report quantitative information, trends, relationships and<br>
correlations among or within data sets.<br>
<br>
System Analyst/Junior Level:<br>
Applies knowledge of analytical methodologies, management principles, hardware and software systems structures and operation, and aircraft systems or requirements to solve project problems. Addresses scientific, engineering or business objectives and interfaces with project teams to address project objectives. Independently uses mathematical and programmatic approaches to define, plan, organize, design, develop, modify, test, and integrate systems.<br>
Directly researches unconventional applications for designing and developing new methodologies, modifications, or adaptations of standardized techniques. Directly develops project plans, guidelines, and controls. May manage and supervise contractor personnel providing this function.<br>
<br>
Engineer/Junior Level:<br>
Perform engineering duties in designing, constructing, and testing aircraft, missiles, and spacecraft. May conduct basic and applied research to evaluate adaptability of materials and equipment to aircraft design and manufacture. May recommend improvements in testing equipment and techniques. Possible Functional Descriptions Aerospace, Chemical, Electrical, Electronics, Industrial, Materials, Mechanical Engineers and All Others<br>
<br>
<b>Benefits:</b><br>
Medical, Dental, &amp; Vision Plan, short- and long-term disability, accidental death &amp; dismemberment, 401K retirement &amp; matching, Tuition assistance program, direct deposit, leave package and 11 paid federal holidays.<br>
<b>Salary:</b><br>
The projected salary range for this position is $60,000-$100,000; however, this is not a guarantee of salary. Salary will be set based on education, experience and contractual requirements.</p>

MQ-9/T-45/CH-53 Data Lab Technician

CRISPR Therapeutics

<div><p><b>Job Description:</b></p><p></p><p><b>
Company Overview</b></p><p>
Since its inception over a decade ago, CRISPR Therapeutics has transformed from a research-stage company advancing programs in the field of gene editing, to a company with a diverse portfolio of product candidates across a broad range of disease areas including hemoglobinopathies, oncology, regenerative medicine, cardiovascular and rare diseases. The Nobel Prize-winning CRISPR science has revolutionized biomedical research and represents a powerful, clinically validated approach with the potential to create a new class of potentially transformative medicines. To accelerate and expand its efforts, CRISPR Therapeutics has established strategic partnerships with leading companies including Vertex Pharmaceuticals. CRISPR Therapeutics AG is headquartered in Zug, Switzerland, with its wholly-owned U.S. subsidiary, CRISPR Therapeutics, Inc., and R&amp;D operations based in Boston, Massachusetts and San Francisco, California.</p><p></p><p><b>
Position </b><b>Summary</b></p><p>
We are seeking a highly motivated and talented Computational Biology &amp; AI Scientist to grow our CRISPR-X and Genomics teams at CRISPR Therapeutics. The scientist in this role will leverage computational genomics and machine learning to advance next-generation in vivo therapies for gene correction and gene insertion into the clinic, including designing novel CRISPR proteins and characterizing gene-editing safety. The successful candidate will own technical strategy, collaborate closely with cross-functional research groups, and deliver contributions that directly impact patients with serious diseases. The position requires outstanding skills in computational biology, ML/AI, and genomics; a high degree of scientific rigor and attention to detail; and a passion for creating new medicines for patients.</p><p></p><p><b>
Responsibilities</b></p><ul><li>
Lead computational genomics and ML/AI activities in a cross-functional drug development setting</li><li>
Generate and test hypotheses on genome-scale data using analytical, statistical, and machine learning methods</li><li>
Perform computational analyses to thoroughly characterize off-target gene editing to ensure the safety of CRISPR-based drug products</li><li>
Apply and develop ML/AI tools to engineer and optimize CRISPR and other gene-editing modalities for improved efficacy and specificity, working in iterative design-test cycles with a world-class team of cellular and molecular biologists</li><li>
Develop and maintain reproducible computational and ML/AI pipelines for genomic and molecular data analysis</li><li>
Author scientifically rigorous research reports to support IND submissions and other regulatory filings</li><li>
Present scientific findings to a broad range of audiences, including senior leadership, to help inform decision-making for therapeutic programs
</li><li>Dissect published literature and cutting-edge developments in the ML/AI space to find novel solutions for in vivo gene-editing problems
</li></ul><p></p><p><b>Minimum Qualifications</b></p><ul><li>
Ph.D. in computational biology, bioinformatics, genomics, machine learning, computer science, or a related field</li><li>
At least 2 years of industry or postdoctoral experience characterizing on-/off-target editing, optimizing gene-editing modalities, or developing AI/ML-driven approaches for therapeutic protein design</li><li>
Demonstrated record of developing computational pipelines to analyze high-throughput DNA sequencing data, with proficiency in common bioinformatics tools (e.g., BWA, SAMtools, GATK, IGV)</li><li>
Proven ability to develop and apply machine learning and/or AI methods to solve challenging problems in the biological domain</li><li>
Proficiency with Python is essential; familiarity with additional languages such as C++, R, or Julia is a plus</li><li>
Ability to work independently and effectively in a matrix environment, prioritize and manage multiple tasks simultaneously, and balance competing priorities</li><li>
Excellent writing, reviewing, and presentation skills</li><li>
A high degree of scientific rigor, accuracy, and attention to detail</li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li>
Experience applying ML/AI tools for protein structure prediction (e.g., AlphaFold), de novo protein design (e.g., RFdiffusion), and/or biomolecular sequence modeling (e.g., ESM, Evo)</li><li>
Proficiency with statistical and machine learning methods, including familiarity with ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn)</li><li>
Familiarity with sequencing platforms (Illumina, PacBio, Oxford Nanopore, 10x Genomics) and NGS library preparation methods</li><li>
Demonstrated record of authoring research reports to support regulatory filings (e.g., IND modules, Investigator's Brochures)</li><li>
Proficiency in managing and analyzing large-scale genomic data in a Linux and/or cloud environment (e.g., AWS)</li></ul><p><b><br>
Competencies</b></p><ul><li>
Collaborative &ndash; Openness, One Team</li><li>
Undaunted &ndash; Fearless, Can-do attitude</li><li>
Results Orientation &ndash; Delivering progress toward our mission. A sense of urgency in solving problems.</li><li>
Entrepreneurial Spirit &ndash; Proactive. Ownership mindset.</li></ul><p></p><p>
CRISPR Therapeutics believes in fostering a dynamic workplace that balances remote work flexibility with the benefits of in-person interactions. Our employees work at least three days on-site, creating a collaborative work environment, where we cultivate mentorship opportunities, increase cross-functional communication and offer opportunities for our employees to connect. Certain lab based and manufacturing positions are located fully on-site.</p><p></p><p>
Senior Clinical Scientist: Base pay range of $140,000 to $150,000+ bonus, equity and benefits</p><p>
The range provided is CRISPR Therapeutics&rsquo; reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as experience, training, skills, and abilities.</p><p></p><p>
CRISPR Therapeutics, Inc. is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law.
</p><p></p><p>To view our Privacy Statement, please click the following link: http://www.crisprtx.com/about-us/privacy-policy</p></div>

Scientist II, Computational Biology & AI

Houston Methodist

<div>At Houston Methodist, the Medical Laboratory Scientist Evening shift (2pm - 10:30pm) position is responsible for performing both routine and complex analyses, which necessitates knowledge of laboratory techniques, principles, and equipment and their interrelationship. This position exercises good judgment by using critical thinking skills and deals with issue resolution concerning the day-to-day technical operation of the laboratory. The Medical Laboratory Scientist also ensures that specimens are accessioned and processed expeditiously in order to deliver quality laboratory results in an effective and cost-efficient manner.
<div><p><b>
FLSA STATUS</b><br>
Non-exempt<br>
<br>
<b>QUALIFICATIONS</b><br>
<br>
<b>EDUCATION</b></p><ul><li>
Bachelor&rsquo;s degree</li></ul><p><b><br>
EXPERIENCE</b></p><ul><li>
One year of work or training experience in a hospital laboratory preferred</li></ul><p><b><br>
LICENSES AND CERTIFICATIONS</b><br>
<b>Required</b></p><ul><li>
Must meet certification eligibility upon entry into this role and have one of the following required certifications within 18 months:<br>
<ul><li>Certified as a Medical Technologist, Clinical Laboratory Scientist, Medical Laboratory Scientist, or categorical certification by Board of Certification (ASCP)</li><li>Certified as a Medical Technologist, Medical Laboratory Scientist or Molecular Diagnostics Technologist by American Medical Technologists (AMT)</li><li>Certified as a Clinical Laboratory Scientist by National Credentialing Agency for Laboratory Personnel (NCA)</li><li>HLA only &ndash; One of the following is required:</li><li>Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification</li><li>Certified by American Board of Histocompatibility and Immunogenetics (ABHI)</li><li>Microbiology only &ndash; One of the following is required:</li><li>Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification</li><li>Microbiology, M(ASCP) certification</li><li>Clinical microbiology registry from American Society for Microbiology, RM(AAM)</li></ul></li></ul><p><b><br>
SKILLS AND ABILITIES</b></p><ul><li>
Demonstrates the skills and competencies necessary to safely perform the assigned job, determined through ongoing skills, competency assessments, and performance evaluations</li><li>
Sufficient proficiency in speaking, reading, and writing the English language necessary to perform the essential functions of this job, especially with regard to activities impacting patient or employee safety or security</li><li>
Ability to effectively communicate with patients, physicians, family members and co-workers in a manner consistent with a customer service focus and application of positive language principles</li><li>
Adapts to multiple ongoing priorities including organizing heavy workflow with minimal supervision</li><li>
Strong attention to detail and ability to achieve and maintain accuracy</li><li>
Demonstrates independent judgment and discretion to recognize problems, identify causes and take corrective action</li><li>
Possesses basic computer knowledge; operates multiple computer systems to include, Hospital/Laboratory Information Systems and Office software to maintain patient and testing records and other related documents</li><li>
Demonstrates the ability to work independently with little or no direct supervision</li><li>
Ability to recognize changes that are critical to patient care</li></ul><p><b><br>
ESSENTIAL FUNCTIONS</b><br>
<br>
<b>PEOPLE ESSENTIAL FUNCTIONS</b></p><ul><li>
Promotes a positive work environment and contributes to a dynamic, team-focused work unit that actively helps one another to achieve optimal department results. Collaborates with all members of the patient care team by actively communicating and reporting pertinent patient care information and data in a comprehensive manner.</li><li>
Teaches students, new employees and others as assigned by Manager.</li><li>
Participates in laboratory and organization-wide initiatives.</li></ul><p><b><br>
SERVICE ESSENTIAL FUNCTIONS</b></p><ul><li>
Performs qualitative and quantitative tests and examination using various analyzers and/or manual methods.</li><li>
Organizes workload and sets priorities. Utilizes all available work time by assisting others and performing additional tasks.</li><li>
Meets turnaround time expectations as defined by management.</li></ul><p><b><br>
QUALITY/SAFETY ESSENTIAL FUNCTIONS</b></p><ul><li>
Demonstrates the six elements of competency for test systems used to generate patient test results in all areas assigned to work.</li><li>
Recognizes, investigates and helps resolve test discrepancies. When problems arise, takes appropriate action to investigate and address and notifies management and the medical director for follow-up.</li><li>
Performs instrument calibrations, validations, quality control testing, maintenance, and function checks.</li></ul><p><b><br>
FINANCE ESSENTIAL FUNCTIONS</b></p><ul><li>
Adjusts work schedule to accommodate departmental/organizational needs. Appropriately utilizes the time recording system.</li><li>
Uses resources efficiently; does not waste supplies. Re-stocks section inventory levels as needed.</li></ul><p><b><br>
GROWTH/INNOVATION ESSENTIAL FUNCTIONS</b></p><ul><li>
Seeks opportunities to expand learning beyond baseline competencies with a focus on continual development.</li><li>
Reviews and utilizes Standard Operating Procedure and offers suggestions for improvement.</li></ul><p><b><br>
SUPPLEMENTAL REQUIREMENTS</b></p><ul><li><b>
WORK ATTIRE</b><ul><li>
Uniform: No</li><li>
Scrubs: Yes</li><li>
Business professional: Yes</li><li>
Other (department approved): No</li></ul><br>
<b>
ON-CALL*</b><br>
<ul><li><i>Note that employees may be required to be on-call during emergencies (ie. Disaster, Severe Weather Events, etc) regardless of selection below.</i></li></ul><ul><li>
On Call* Yes</li></ul><br>
<b>
TRAVEL**</b><br>
<i>**Travel specifications may vary by department**</i><ul><li>
May require travel within the Houston Metropolitan area Yes</li><li>
May require travel outside Houston Metropolitan area Yes</li></ul></li></ul></div>
<b>QUALIFICATIONS</b><br>
<br>
<b>EDUCATION</b><p></p><ul><li>
Bachelor&rsquo;s degree</li></ul><p><b><br>
EXPERIENCE</b></p><ul><li>
One year of work or training experience in a hospital laboratory preferred</li></ul><p><b><br>
LICENSES AND CERTIFICATIONS</b><br>
<b>Required</b></p><ul><li>
Must meet certification eligibility upon entry into this role and have one of the following required certifications within 18 months:<br>
<ul><li>Certified as a Medical Technologist, Clinical Laboratory Scientist, Medical Laboratory Scientist, or categorical certification by Board of Certification (ASCP)</li><li>Certified as a Medical Technologist, Medical Laboratory Scientist or Molecular Diagnostics Technologist by American Medical Technologists (AMT)</li><li>Certified as a Clinical Laboratory Scientist by National Credentialing Agency for Laboratory Personnel (NCA)</li><li>HLA only &ndash; One of the following is required:</li><li>Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification</li><li>Certified by American Board of Histocompatibility and Immunogenetics (ABHI)</li><li>Microbiology only &ndash; One of the following is required:</li><li>Medical Technologist, MT(ASCP) or Medical Laboratory Scientist, MLS(ASCP) certification</li><li>Microbiology, M(ASCP) certification</li><li>Clinical microbiology registry from American Society for Microbiology, RM(AAM)</li></ul></li></ul><p></p><p><b><br>
Company Profile:</b></p><p>
Houston Methodist Baytown Hospital brings the expertise and latest technology of Houston Methodist to Baytown and surrounding counties. The skilled and compassionate physicians, nurses and staff provide unsurpassed medical care in a close-to-home, state-of-the-art facility. Houston Methodist Baytown is committed to meeting the needs of its growing community through the ongoing facilities master plan expansion project, which includes a new, expanded emergency department, a five-story patient tower, outpatient center, renovated Cancer Center, neonatal intensive care unit and the addition of technologically advanced operating rooms.</p><p>
Houston Methodist is an Equal Opportunity Employer.</p></div>

Medical Laboratory Scientist

University of Florida

<p></p><div><div><p><b>JOB NO:</b></p>
<div>539216</div><br>
<p><b>WORK TYPE:</b></p>
<div>Tenure-Track Faculty</div><br>
<p><b>LOCATION:</b></p>
<div>Main Campus (Gainesville, FL)</div><br>
<p><b>CATEGORIES:</b></p>
<div>Health Care Administration/Support, Medicine/Physicians</div><br>
<p><b>DEPARTMENT:</b></p><div>
29080100 - MD-PATHOLOGY-GENERAL</div></div><br>
<div>
<div><div><div><div><b>CLASSIFICATION TITLE:</b></div> <div>Assistant Scientist</div>
</div><br>
<div><div><b>CLASSIFICATION MINIMUM REQUIREMENTS:</b></div>
<div>
<p>A PhD in biology, biomedical science, biomedical engineering or other related engineering field, cardiovascular or science</p></div><br>
</div><br>
<div><div><b>JOB DESCRIPTION:</b></div>
<div>
<p>The Assistant Scientist will join a highly interactive and collaborative research team to study the effects of drugs of abuse and HIV infection on the vasculature. The Assistant Scientist must be willing to work on several different projects involving infectious agents, drugs of abuse, and microfluidic models of the vasculature (lung, salivary glands, larynx, aorta, barriers of the CNS). In addition, the Assistant Scientist will be in charge of proper record keeping of methodology, experimental plan, results etc. It is also expected that the scientist will analyze data, perform analyses, present results, and prepare data for publication. The successful candidate will be encouraged to facilitate collaborative research efforts with other laboratories and to train laboratory personnel (including students) in research methods, procedures, and equipment.</p></div><br>
</div><br>
<div><div><b>EXPECTED SALARY:</b></div>
<div>
<p>$80,000</p></div><br>
</div><br>
<div><div><b>REQUIRED QUALIFICATIONS:</b></div>
<div><ul><li>Highly motivated individual capable of working independently or as part of a team.</li>
<li>Proficient in standard lab/office equipment and software, including MS Office.</li>
<li>Willingness to work with infectious agents.</li>
<li>Experience with cell culture and animal models</li>
<li>Strong written and oral communication skills.</li>
<li>Demonstrate organizational skills with the ability to handle multiple tasks.</li>
<li>Ability to keep accurate records of research performed to NIH standards.</li>
<li>Ability to interact with collaborators, which includes students, faculty, and staff.</li>
</ul>
</div></div><br>
<div><div><b>PREFERRED:</b></div> <div>Experience with endothelial cells, computer-aided design modeling and software, microfluidic models, and microscopy</div>
</div><br>
<div><div><b>SPECIAL INSTRUCTIONS TO APPLICANTS:</b></div>
<div>
<p>In order to be considered, you must upload your cover letter and resume.</p>
<p>
Application must be submitted by 11:55 p.m. (ET) of the posting end date.</p>
<p>
Applicants should apply online @ jobs.ufl.edu, and include a curriculum vitae, a letter outlining interests, and three letters of reference. The letters may also be sent directly to Dr. Allison Andrews, (andrews.allison@ufl.edu), Search Committee Chair, Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, and copy Stacey Oliver (oliversl@ufl.edu ).</p></div><br>
</div><br>
<div><div><b>HEALTH ASSESSMENT REQUIRED:</b></div> <div>Yes</div></div></div><br>
</div>
</div><p></p><div><p><b>ADVERTISED:</b></p>
<div>19 Mar 2026</div> Eastern Daylight Time<br>
<p><b>APPLICATIONS CLOSE:</b></p>
<div><div>03 Apr 2026</div></div>
Eastern Daylight Time</div></div><p></p>

Assistant Scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
<br>
Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
<br>
A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence

<div>
 The Data Scientist is responsible for conducting undirected research and tackle open-ended data problems and questions. Drawing on an advanced degree in a quantitative field such as computer science, physics, statistics or applied mathematics, the Data Scientist demonstrates the knowledge to invent new algorithms to solve data problems.
 <br/>
 <br/>
 <ul>
  <li>
   Research and assess next-generation technologies for machinery diagnostics and prognostics and data-driven modeling and optimization of complex systems.
  </li>
  <li>
   Demonstrate advanced working knowledge and experience with machine learning algorithms and population-based meta-heuristic optimization methods.
  </li>
  <li>
   Generate innovative ideas, establish new research directions, and shape and execute on technical projects.
  </li>
  <li>
   Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility.
  </li>
  <li>
   Apply theoretical knowledge to solve industrial problems.
  </li>
  <li>
   Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines.
  </li>
  <li>
   Apply engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction and optimization.
  </li>
  <li>
   Communicate ideas, plans and results effectively via oral and written reports.
  </li>
  <li>
   Collaborate with field and product engineers to identify key health monitoring parameters of a system.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Programming: High proficiency in Python (specifically Pandas for data manipulation and NumPy for numerical computing).
  </li>
  <li>
   Database Management: Ability to write SQL queries to extract data from relational databases.
  </li>
  <li>
   Statistical Foundation: Understanding of probability, hypothesis testing, and statistical significance.
  </li>
  <li>
   Machine Learning: Familiarity with ML libraries like Scikit-Learn.
  </li>
  <li>
   Education: Currently pursuing or recently completed a degree (BS/MS) in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, or a related field.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Basic exposure to LLMs or Prompt Engineering (e.g., using OpenAI or LangChain APIs).
  </li>
  <li>
   Creating Dashboards and visualizations (ex. PowerBI)
   <br/>
  </li>
 </ul>
</div>


D&I Data Scientist

Piper Companies

<div>
 <strong>
  Piper Companies is seeking a Data Scientist to join a highly technical Data and AI organization supporting a large-scale global payments environment.
 </strong>
 This role will focus on building advanced data science and machine learning solutions that translate complex data into actionable, revenue-driving insights. The Data Scientist will work closely with business, product, and engineering teams to design, test, and deploy models into production systems. The Data Scientist position requires strong technical depth, comfort operating in fast-paced environments, and a passion for applied research.
 <strong>
  This role is onsite or hybrid in Charlotte NC
 </strong>
 based on business needs. Must be authorized to work in the US without sponsership.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Frame complex business problems using advanced data science, statistical modeling, and machine learning techniques
  </li>
  <li>
   Design, build, and deploy scalable machine learning pipelines and production-level models
  </li>
  <li>
   Develop and test models across areas such as recommendation systems, time-series forecasting, optimization, and natural language processing
  </li>
  <li>
   Partner with cross-functional stakeholders to identify opportunities to leverage internal and external data for business impact
  </li>
  <li>
   Own critical research initiatives and application development efforts from concept through production
  </li>
  <li>
   Run large-scale experiments and A/B tests to evaluate and improve model performance
  </li>
  <li>
   Contribute to cross-team collaboration and help advance overall data science capabilities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Mathematics, Statistics, Physics, or a related discipline
  </li>
  <li>
   3 or more years of experience translating mathematical models and algorithms into production-ready code
  </li>
  <li>
   Strong programming experience in Python and Kfka and or C++
  </li>
  <li>
   Solid foundation in probability, statistics, and applied machine learning
  </li>
  <li>
   Hands-on experience with areas such as NLP, time-series analysis, and Generative AI
  </li>
  <li>
   Prior experience working in a highly technical, data-driven research or engineering environment
  </li>
  <li>
   Ability to clearly communicate complex technical concepts to both technical and non-technical audiences
  </li>
  <li>
   Must be authorized to work in the United States
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   $115.000 -$135,000 annually
  </li>
  <li>
   Comprehensive benefits package including medical, dental, vision, and 401(k) options
  </li>
  <li>
   Paid time off and paid holidays
  </li>
 </ul>
</div>


Data Scientist

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