Model: ShushantLLM/paraphrase-multilingual-mpnet-base-v2
Author: ShushantLLM
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, xlm-roberta, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:810, loss:MultipleNegativesRankingLoss, dataset:ShushantLLM/ai-job-embedding-finetuning, arxiv:1908.10084, arxiv:1705.00652, base_model:sentence-transformers/paraphrase-multilingual-mpnet-base-v2, base_model:finetune:sentence-transformers/paraphrase-multilingual-mpnet-base-v2, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/paraphrase-multilingual-mpnet-base-v2
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:810, loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/paraphrase-multilingual-mpnet-base-v2
widget: source_sentence: CBRN defense, predictive analytics, natural language understanding
sentences: experience with speech interfaces Lead and evaluate changing dialog evaluation conventions, test tooling developments, and pilot processes to support expansion to new data areas Continuously evaluate workflow tools and processes and offer solutions to ensure they are efficient, high quality, and scalable Provide expert support for a large and growing team of data analysts Provide support for ongoing and new data collection efforts as a subject matter expert on conventions and use of the data Conduct research studies to understand speech and customer-Alexa interactions Assist scientists, program and product managers, and other stakeholders in defining and validating customer experience metrics

We are open to hiring candidates to work out of one of the following locations:

Boston, MA, USA | Seattle, WA, USA

Basic Qualifications

 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 2+ years of data scientist experience Bachelor's degree Experience applying theoretical models in an applied environment

Preferred Qualifications

 Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Amazon is committed to a diverse and inclusive workplace. Amazon is 

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A2610750, Skills: Your Expertise:
5+ years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiencesExperience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurementExperience in analysis of A|B experiments and statistical data analysisExperience designing and building metrics, from conception to building prototypes with data pipelinesStrong knowledge in at least one programming language (Python or R) and in SQLAbility to drive data strategies, with a central source of truth to impact business decisionsKnowledge and experience in insurance industry - a plusKnowledge and experience in customer experience measurement - a plus
Keywords:Education: Minimum: BS/BA in CS or related field (or self-taught/ equivalent work experience) Preferred: MS/MA in CS or related field, requirements of the program or company.

 Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism. 

At V2X, we are making a difference by delivering decision support tools critical for the protection of our forces when threatened by both physical and Chemical, Biological, Radiological, or Nuclear (CBRN) threats.

We are expanding in data science to provide the best information possible utilizing the latest techniques in Machine Learning (including Deep Learning, Neural network). We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team. Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers. We partner and collaborate with universities to being best minds together.

Data scientists will have opportunities to work on projects with highest priority to our business. Vital to success in this role is the ability to determine, define and deploy predictive / prescriptive analytic solutions to identify and perform root cause analysis on adverse trends, by choosing best fit methods, defining algorithms, and validating and deploying models to achieve results.

Responsibilities

Major Job Activities:

 Partner with our development teams to solve problems and identify trends and opportunities to leverage data from multiple sources.  Collaborate across multiple teams.  Passionate about working with large and complex unstructured and structured data sets.  Strong communication and interpersonal skills. You should be able to work across functions and effectively present, recommend and communicate a position by demonstrating its value and tradeoffs.  Comfortable conducting design, algorithm, and code reviews.  Able to self-direct and succeed with minimal guidance. 

Material & Equipment Directly Used:

Computer, Phone, and basic office materials.

Working Environment:

 Function in an office environment in a stationary position approximately 50 percent of the time or more.  Must be able to operate standard office equipment, such as a computer, copy machine, and printer. 

Qualifications

Education / Certifications:

 Bachelor’s degree in a computer, engineering, or quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).  Master's or Ph.D. in a quantitative discipline preferred. 

Clearance Requirement: 

Must have or be able to obtain an active U.S. DoD Secret (or higher) level Security Clearance.

Experience / Skills:

 5+ years of relevant work experience in data analysis or related field. (e.g., statistician, data analyst, data scientist).  Programming experience in one or more of the following: R, MATLAB, C, C++, Java, Python, Scala  Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).  Experience with statistical software (e.g., R, Octave, Julia, MATLAB, pandas) and database languages (e.g., SQL).  Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc.  Contribution to research communities and/or efforts, including publishing papers at conferences. 

We are committed to an inclusive and diverse workplace that values and supports the contributions of each individual. This commitment along with our common Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation and expand our success in the global marketplace. V2X is an Equal Opportunity /Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, protected veteran status or status as an individual with a disability., source_sentence: Senior Data Analyst Pricing, data product automation, pricing strategy analysis
sentences: Skills You BringBachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 6+ years of experienceInformatica Power CenterGood experience with ETL technologiesSnaplogicStrong SQLProven data analysis skillsStrong data modeling skills doing either Dimensional or Data Vault modelsBasic AWS Experience Proven ability to deal with ambiguity and work in fast paced environmentExcellent interpersonal and communication skillsExcellent collaboration skills to work with multiple teams in the organization, experience, an annualized transactional volume of $140 billion in 2023, and approximately 3,200 employees located in 12+ countries, Paysafe connects businesses and consumers across 260 payment types in over 40 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments. Further information is available at www.paysafe.com.

Are you ready to make an impact? Join our team that is inspired by a unified vision and propelled by passion.

Position Summary

We are looking for a dynamic and flexible, Senior Data Analyst, Pricing to support our global Sales and Product organizations with strategic planning, analysis, and commercial pricing efforts . As a Senior Data Analyst , you will be at the frontier of building our Pricing function to drive growth through data and AI-enabled capabilities. This opportunity is high visibility for someone hungry to drive the upward trajectory of our business and be able to contribute to their efforts in the role in our success.

You will partner with Product Managers to understand their commercial needs, then prioritize and work with a cross-functional team to deliver pricing strategies and analytics-based solutions to solve and execute them. Business outcomes will include sustainable growth in both revenues and gross profit.

This role is based in Jacksonville, Florida and offers a flexible hybrid work environment with 3 days in the office and 2 days working remote during the work week.

Responsibilities

 Build data products that power the automation and effectiveness of our pricing function, driving better quality revenues from merchants and consumers.  Partner closely with pricing stakeholders (e.g., Product, Sales, Marketing) to turn raw data into actionable insights. Help ask the right questions and find the answers.  Dive into complex pricing and behavioral data sets, spot trends and make interpretations.  Utilize modelling and data-mining skills to find new insights and opportunities.  Turn findings into plans for new data products or visions for new merchant features.  Partner across merchant Product, Sales, Marketing, Development and Finance to build alignment, engagement and excitement for new products, features and initiatives.  Ensure data quality and integrity by following and enforcing data governance policies, including alignment on data language. 

  Qualifications  

 Bachelor’s degree in a related field of study (Computer Science, Statistics, Mathematics, Engineering, etc.) required.  5+ years of experience of in-depth data analysis role, required; preferably in pricing context with B2B & B2C in a digital environment.  Proven ability to visualize data intuitively, cleanly and clearly in order to make important insights simplified.  Experience across large and complex datasets, including customer behavior, and transactional data.  Advanced in SQL and in Python, preferred.  Experience structuring and analyzing A/B tests, elasticities and interdependencies, preferred.  Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical audiences. 

 Life at Paysafe: 

One network. One partnership. At Paysafe, this is not only our business model; this is our mindset when it comes to our team. Being a part of Paysafe means you’ll be one of over 3,200 members of a world-class team that drives our business to new heights every day and where we are committed to your personal and professional growth.

Our culture values humility, high trust & autonomy, a desire for excellence and meeting commitments, strong team cohesion, a sense of urgency, a desire to learn, pragmatically pushing boundaries, and accomplishing goals that have a direct business impact.

 

Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type concerning ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments, please let us know. We will be happy to help and look forward to hearing from you., Experience : 10 yearsLocation : RemoteDuration: Full TimeJob DetailsData Warehouse, ETL, Advanced SQL,Data Profiling, Source to Target Mapping,Business Requirement Document, FRS, Healthcare.Should be able to navigate the code - developer background
﻿Thanks & Regard's
Mohd FurquanLead Technical RecruiterE-mail: furqan@msrcosmos.comDirect No: +1 925 313 8949LinkedIn-ID :linkedin.com/in/mohd-furquan-94237816aVisit us: www.msrcosmos.com, source_sentence: CPG data analysis, Nielsen IRI expertise, Power Query dashboard development
sentences: Skills :
a) Azure Data Factory – Min 3 years of project experiencea. Design of pipelinesb. Use of project with On-prem to Cloud Data Migrationc. Understanding of ETLd. Change Data Capture from Multiple Sourcese. Job Schedulingb) Azure Data Lake – Min 3 years of project experiencea. All steps from design to deliverb. Understanding of different Zones and design principalc) Data Modeling experience Min 5 Yearsa. Data Mart/Warehouseb. Columnar Data design and modelingd) Reporting using PowerBI Min 3 yearsa. Analytical Reportingb. Business Domain Modeling and data dictionary
Interested please apply to the job, looking only for W2 candidates., experienced and highly skilled Sr Data Engineer to join us. This role requires a seasoned professional with a deep understanding of automated data pipelines, cloud infrastructure, databases, and workflow engines. The ideal candidate will have a minimum of 5 years of technical lead experience in the medical device field and at least 7 years of experience in data engineering. Proficiency in Python and a proven track record of leading projects to completion are essential.

Primary Duties

Design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives. Lead the architecture and implementation of advanced cloud-based data engineering solutions, leveraging AWS technologies and best practices. Manage and optimize data pipelines, ensuring timely and accurate data availability for analytics and machine learning applications. Oversee the administration and performance tuning of databases and workflow engines. Collaborate with cross-functional teams (e.g., product management, IT, software engineering) to define data requirements, integrate systems, and implement data governance and security policies. Mentor junior data engineers and oversee the team's development efforts, promoting best practices in coding, architecture, and data management. Stay abreast of emerging technologies and trends in data engineering, cloud services, and the medical device industry to drive innovation and competitive advantage. 

Knowledge, Experience & Skills

Degree in Computer Science, Engineering, Information Systems, or a related field. Requiring a minimum of Bachelor’s degree +7yrs of experience or a Master’s degree +5yrs of experience. Minimum of 7 years of experience in data engineering, with expertise in developing and managing automated data pipelines, AWS cloud infrastructure, databases, and workflow engines. Certifications in AWS and data engineering preferred. Experience with machine learning algorithms and data modeling techniques. At least 5 years of experience in the medical device IVD industry, with a strong understanding of FDA regulatory standards and compliance requirements. Expert proficiency in Python programming and software engineering principles. Demonstrated experience with AWS services (e.g., EC2, RDS, S3, Lambda, Glue, Redshift, Athena, EMR) and data pipeline tools (e.g., Apache Airflow, Luigi, etc). Strong knowledge of database management (Postgres and Snowflake), SQL, and NoSQL databases. Adept at queries, report writing and presenting findings Experienced in developing and maintaining ETL pipelines in a cloud environmentExperienced in Unit Testing preferred Strong analytical skills with the ability to organize, analyze, and disseminate information with attention to detail and accuracy Excellent communication and task management skills. Comfort working in a dynamic, fast-paced, research-oriented group with several ongoing concurrent projectsFull fluency (verbal and written) of the English language is a must. 

The estimated salary range for this role based in California is between $148,700 and $178,400 annually. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux’s bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate’s experience and will be presented in writing at the time of the offer.

In addition, bioMérieux offers a competitive Total Rewards package that may include:

A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine optionsCompany-Provided Life and Accidental Death InsuranceShort and Long-Term Disability InsuranceRetirement Plan including a generous non-discretionary employer contribution and employer match. Adoption AssistanceWellness ProgramsEmployee Assistance ProgramCommuter BenefitsVarious voluntary benefit offeringsDiscount programsParental leaves

BioFire Diagnostics, LLC. is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Please be advised that the receipt of satisfactory responses to reference requests and the provision of satisfactory proof of an applicant’s identity and legal authorization to work in the United States are required of all new hires. Any misrepresentation, falsification, or material omission may result in the failure to receive an offer, the retraction of an offer, or if already hired, dismissal. If you are a qualified individual with a disability, you may request a reasonable accommodation in BioFire Diagnostics’ application process by contacting us via telephone at (385) 770-1132, by email at [email protected], or by dialing 711 for access to Telecommunications Relay Services (TRS)., requirements into analytical frameworks.Dashboard Development: Design and maintain dashboards using Power Query in Excel, good in analytics in generating metrics & measures and ensuring accurate and real-time data representation. 
Required QualificationsProfessional Experience: 3-6 years as a business analyst, with mandatory experience in the CPG sector and should have worked on brand dataTechnical Proficiency: Advanced skills in Excel and Power Query;Communication Skills: Exceptional ability to communicate complex data insights to non-technical stakeholders.Location: Position based in Springdale. Preferred AttributesProven experience in data-driven decision-making processes.Ability to handle multiple projects simultaneously, with a focus on deadlines and results., source_sentence: ETL Pipelines, Apache Spark, AirFlow
sentences: Qualifications

 - Currently enrolled in a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications: 
- Fluency in SQL or other programming languages (Python, R etc) for data manipulation
- Ability to thrive in a fast paced work environment 
- Ability to drive projects to completion with minimal guidance
- Ability to communicate the results of analyses in a clear and effective manner

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy. 

Job Information:

【For Pay Transparency】Compensation Description (annually) The base salary range for this position in the selected city is $45 - $45annually. We cover 100% premium coverage for Full-Time intern medical insurance after 90 days from the date of hire. Medical coverage only, no dental or vision coverage.Our time off and leave plans are: Paid holidays and paid sick leave. The sick leave entitlement is based on the time you join.We also provide mental and emotional health benefits through our Employee Assistance Program and provide reimbursements for your mobile phone expense. The Company reserves the right to modify or change these benefits programs at any time, with or without notice., Experience as a Product Data Analyst at TGG:Achieving business results as a client facing consultant for our clients in various types of engagements within a variety of industries.Delivering high quality work to our clients within our technology service line. Being part of a collaborative, values-based firm that has a reputation for great work and satisfied clients.Working with senior IT leaders to communicate strategic goals to their organization, including leading client and internal development teams on best practices.
What You Will Work On:Analyze large datasets to identify patterns, trends, and opportunities for product optimization.Develop and maintain dashboards and reports to track key performance metrics.Collaborate with product managers, marketers, and engineers to ideate, prioritize, and implement data-driven initiatives.Conduct A/B testing and other statistical analyses to evaluate the effectiveness of product changes.Communicate findings and recommendations to stakeholders through clear and concise presentations.Contribute analytical insights to inform product vision and deliver value.
Who Will You Work With:Client stakeholders ranging from individual contributors to senior executives.A collaborative team of consultants that deliver outstanding client service.TGG partners, principals, account leaders, managers, and staff supporting you to excel within client projects and to achieve your professional development goals.
Examples of What You Bring to the Table:You have strong analysis capabilities and thrive on working collaboratively to deliver successful results for clients. You have experience with these technologies:Proficiency in SQL and Python for data extraction, manipulation, and analysis.Strong understanding of statistical concepts and techniques.Intermediate experience with Tableau, Power BI, Adobe Analytics, or similar BI tools.Ability to analyze requirements, design, implement, debug, and deploy Cloud Platform services and components.At least basic exposure to data science and machine learning methods.Familiarity with source control best practices: Define, Setup/Configure, Deploy and Maintain source code (e.g. GIT, VisualSafe Source).Ability to develop and schedule processes to extract, transform, and store data from these systems: SQL databases, Azure cloud services, Google cloud service, Snowflake.4-8 years of relevant experience.Bachelor’s degree in Computer Science, Statistics, Economics, Mathematics, or a related field; or equivalent combination of education, training, and experience.Analytical Product Mindset: Ability to approach problems analytically and derive actionable insights from complex datasets, while remaining focused on providing value to customers Strategic Thinking: Demonstrated ability to translate data findings into strategic, achievable recommendations to drive business outcomes.Communication Skills: Excellent verbal and written communication skills.Ability to effectively convey technical concepts from technical to non-technical stakeholders and vice-versa.Team Player: Proven track record of collaborating effectively with cross-functional teams in a fast-paced environment.Adaptability: Have consistently demonstrated the ability to bring structure to complex, unstructured environments.Familiarity with Agile development methodologies.Ability to adapt to changing priorities to thrive in dynamic work environments.
Salary and Benefits:Nothing is more important to us than the well-being of our team. That is why we are proud to offer a full suite of competitive health benefits along with additional benefits such as: flexible PTO, a professional development stipend and work from home stipend, volunteer opportunities, and team social activities.
Salaries vary and are dependent on considerations such as: experience and specific skills/certifications. The base plus target bonus total compensation range for this role is $95,000 - $125,000. Additional compensation beyond this range is available as a result of leadership and business development opportunities. Salary details are discussed openly during the hiring process. 
Work Environment:TGG is headquartered in Portland, Oregon, and has team members living in various locations across the United States. Our consultants must have the ability to travel and to work remotely or onsite. Each engagement has unique conditions, and we work collaboratively to meet both our client and team's needs regarding onsite and travel requirements. 
Why The Gunter Group:TGG was created to be different, to be relational, to be insightful, and to maximize potential for our consultants, our clients, and our community. We listen first so we can learn, analyze, and deliver meaningful solutions for our clients. Our compass points towards our people and our “Non-Negotiables” always. Our driven employees make us who we are — a talented team of leaders with deep and diverse professional experience.If you think this role is the right fit, please submit your resume and cover letter so we can learn more about you. 
The Gunter Group LLC is, Requirements & Day-to-Day:  Design, develop, and support scalable data processing pipelines using Apache Spark and Java/Scala. Lead a talented team and make a significant impact on our data engineering capabilities. Implement and manage workflow orchestration with AirFlow for efficient data processing. Proficiently use SQL for querying and data manipulation tasks. Collaborate with cross-functional teams to gather requirements and ensure alignment with data engineering solutions.  Essential Criteria:  a bachelor’s degree in computer science or another relevant discipline, and a minimum of five years of relevant experience in data engineering. Solid experience with Apache Spark for large-scale data processing. Proficiency in Java or Scala programming languages. Strong knowledge of AirFlow for workflow orchestration. Proficient in SQL for data querying and manipulation., source_sentence: Data organization, document analysis, records management
sentences: skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer’s core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level!

As one of the newest Chenega companies, Chenega Defense & Aerospace Solutions (CDAS) was developed with the purpose of providing expert Engineering and Technical Support Services to federal customers.

The Data Analyst will analyze a large variety of documents to ensure proper placement in physical files, perform high-level scanning of master file documents to convert them into an electronic format, and provide meticulous organization and management of case files, including sorting and categorizing documents before scanning.

Responsibilities

Work within the Standard Operating Procedure for the organization of physical files containing documents of various types Establish or maintain physical files, including proper placement of documents as they are createdDisseminate significant amounts of information with attention to detail and accuracyPerform word processing tasksPerform data entry and metadata entry for electronic documentsReconcile inconsistenciesGather information and organize investigative packages, case files, or presentationsObtain additional information from other investigative agencies or databasesVerify information and files against the tracking systemMaintain internal status information on the disposition of designated information and filesDistribute and receive documentsAssist analyst or government official in obtaining or collecting all documents or information to complete case fileProvide administrative information and assistance concerning the case or files to other agencies or organizationsOther duties as assigned


Qualifications

High school diploma or GED equivalent required Must have resided in the United States for at least three out of the last five years or worked for the U.S. in a foreign country as either an employee or contractor in a federal or military capacity for at least three of the last five yearsHaving your own Personally Owned Vehicle (POV) is requiredPossess a demonstrated ability to analyze documents to extract informationGood oral and written communication skillsHave hands-on familiarity with a variety of computer applications,Must have a working knowledge of a variety of computer software applications in word processing, spreadsheets, databases, presentation software (MS Word, Excel, PowerPoint), and OutlookA valid driver’s license is requiredTop Secret clearance required 


Knowledge, Skills, And Abilities

Possess a demonstrated ability to analyze documents to extract informationGood oral and written communication skillsHave hands-on familiarity with a variety of computer applications, including word processing, database, spreadsheet, and telecommunications softwareMust be a team playerMust be able to work independently and with USMS staff to interpret data rapidly and accurately for proper execution in a records management databaseMust have a working knowledge of a variety of computer software applications in word processing, spreadsheets, databases, presentation software (MS Word, Excel, Access, PowerPoint), and OutlookAbility to work independently on tasks be a self-starter and complete projects with a team as they ariseAttention to detail and the ability to direct the work of others efficiently and effectivelyAbility to consistently deliver high-quality work under extreme pressureAbility to work shiftworkAbility to lift and move boxes up to 25 pounds, including frequently utilizing hands, arms, and legs for file placement and removalExperience with scanning software


How You’ll Grow

At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn.

We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers.

Benefits

At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits.

Learn more about what working at Chenega MIOS can mean for you.

Chenega MIOS’s culture

Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives.

Corporate citizenship

Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities.

Learn more about Chenega’s impact on the world.

Chenega MIOS News- https://chenegamios.com/news/

Tips from your Talent Acquisition team

We Want Job Seekers Exploring Opportunities At Chenega MIOS To Feel Prepared And Confident. To Help You With Your Research, We Suggest You Review The Following Links

Chenega MIOS web site - www.chenegamios.com

Glassdoor - https://www.glassdoor.com/Overview/Working-at-Chenega-MIOS-EI_IE369514.11,23.htm

LinkedIn - https://www.linkedin.com/company/1472684/

Facebook - https://www.facebook.com/chenegamios/

#DICE

#Chenega Defense & Aerospace Solutions, LLC, Qualifications
 Data Engineering, Data Modeling, and ETL (Extract Transform Load) skillsData Warehousing and Data Analytics skillsExperience with data-related tools and technologiesStrong problem-solving and analytical skillsExcellent written and verbal communication skillsAbility to work independently and remotelyExperience with cloud platforms (e.g., AWS, Azure) is a plusBachelor's degree in Computer Science, Information Systems, or related field, skills will be difficult. The more aligned skills they have, the better.Organizational Structure And Impact:Describe the function your group supports from an LOB perspective:Experienced ML engineer to work on universal forecasting models. Focus on ML forecasting, Python and Hadoop. Experience with Python, ARIMA, FB Prophet, Seasonal Naive, Gluon.Data Science Innovation (DSI) is a very unique application. It is truly ML-driven at its heart and our forecasting models originally looked singularly at cash balance forecasting. That has all changed as we have now incorporated approximately 100 additional financial metrics from our new DSI Metrics Farm. This allows future model executions to become a Universal Forecasting Model instead of being limited to just cash forecasting. It’s a very exciting application, especially since the models have been integrated within a Marketplace concept UI that allows Subscriber/Contributor functionality to make information and processing more personal and with greater extensibility across the enterprise. The application architecture is represented by OpenShift, Linux, Oracle, SQL Server, Hadoop, MongoDB, APIs, and a great deal of Python code.Describe the current initiatives that this resource will be impacting:Working toward implementation of Machine Learning Services.Team Background and Preferred Candidate History:Do you only want candidates with a similar background or would you like to see candidates with a diverse industry background?Diverse industry background, finance background preferred. Manager is more focused on the skillset.Describe the dynamic of your team and where this candidate will fit into the overall environment:This person will work with a variety of titles including application architects, web engineers, data engineers, data scientists, application system managers, system integrators, and Quality Engineers.Will work with various teams, but primarily working with one core team - approx 15 - onshore and offshore resources.Candidate Technical and skills profile:Describe the role and the key responsibilities in order of which they will be doing daily:Machine Learning Engineer that work with Data Scientists in a SDLC environment into production.Interviews:Describe interview process (who will be involved, how many interviews, etc.):1 round - 1 hour minimum, panel style
datasets: ShushantLLM/ai-job-embedding-finetuning
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy
model-index: name: SentenceTransformer based on sentence-transformers/paraphrase-multilingual-mpnet-base-v2
results: task: type: triplet
name: Triplet
dataset: name: ai job validation
type: ai-job-validation
metrics: type: cosine_accuracy
value: 0.9801980257034302
name: Cosine Accuracy
verified: no, task: type: triplet
name: Triplet
dataset: name: ai job test
type: ai-job-test
metrics: type: cosine_accuracy
value: 0.9607843160629272
name: Cosine Accuracy
verified: no
Likes: 0 | All-time downloads: 30
Created: 2025-11-12 20:30:57