data scientist

ai / machine learning engineer Jobs in Indianapolis

ai / machine learning engineer

data engineer

quality software engineer Jobs in Indianapolis

quality software engineer

senior cloud data engineer Jobs in Indianapolis

senior cloud data engineer

machine learning engineer

Guidehouse

<div>Job Family:
Data Science Consulting 
Travel Required:
Up to 10% 
Clearance Required:
Active Secret
What You Will Do
As an AI / ML Engineer, you will be part of multidisciplinary teams delivering advanced analytics, machine learning, and AI-enabled solutions for federal clients. You will design, build, and deploy scalable ML models and data pipelines that support mission-critical decision-making across defense and federal financial domains.
You will work closely with clients, data engineers, product owners, and functional SMEs to translate complex data and business problems into production-ready AI and ML solutions, while ensuring compliance with federal security and data-handling requirements.
Key responsibilities include:<ul><li>
Design, build, train, and deploy machine learning models to support operational, analytical, and decision-support use cases</li><li>
Develop and maintain end-to-end ML pipelines, from data ingestion and feature engineering through model training and evaluation</li><li>
Apply supervised and unsupervised learning techniques, including classification, regression, clustering, and anomaly detection</li><li>
Work with large-scale structured and semi-structured federal datasets, including financial, budgetary, and transactional data</li><li>
Engineer solutions in secure cloud and on-prem environments in compliance with DoD and federal security controls</li><li>
Collaborate with stakeholders to translate analytic outcomes into actionable insights and mission value</li><li>
Contribute to solution documentation, model explainability, and government-facing deliverables</li><li>
Support continuous improvement of data science and ML engineering best practices across teams</li></ul>
What You Will Need:<ul><li>
US Citizenship is required.</li><li>
An ACTIVE and MAINTAINED &quot;SECRET&quot; Federal or DoD security clearance.</li><li>
Bachelor&rsquo;s degree obtained.</li><li>
3&ndash;5 years of professional experience in machine learning, AI engineering, data science, or advanced analytics</li><li>
Demonstrated experience building and deploying ML models using Python and modern ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow)</li><li>
Strong experience with data manipulation and analysis using SQL, Pandas, NumPy, and related tools</li><li>
Experience working in secure federal environments, particularly DoD or Intelligence Community programs</li><li>
Understanding of model validation, explainability, performance monitoring, and bias considerations</li><li>
Ability to communicate complex technical concepts clearly to technical and non-technical audiences</li></ul>
What Would Be Great to Have:<ul><li>
Experience supporting the Department of Defense, particularly work involving Advana or enterprise DoD data platforms</li><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field</li><li>
Hands-on experience working with federal financial or budgetary data (e.g., audit, accounting, execution, or spend analytics)</li><li>
Experience engineering solutions on Databricks (including Spark, MLflow, Delta Lake)</li><li>
Experience building analytics or ML solutions using Palantir Foundry</li><li>
Familiarity with MLOps practices, CI/CD for ML, and model lifecycle management</li><li>
Experience working in cloud environments such as Azure (including GovCloud) or AWS GovCloud</li><li>
Master&rsquo;s degree in a related quantitative or technical discipline</li></ul>
The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. 
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:<ul><li>
Medical, Rx, Dental &amp; Vision Insurance</li><li>
Personal and Family Sick Time &amp; Company Paid Holidays</li><li>
Position may be eligible for a discretionary variable incentive bonus</li><li>
Parental Leave and Adoption Assistance</li><li>
401(k) Retirement Plan</li><li>
Basic Life &amp; Supplemental Life</li><li>
Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts</li><li>
Short-Term &amp; Long-Term Disability</li><li>
Student Loan PayDown</li><li>
Tuition Reimbursement, Personal Development &amp; Learning Opportunities</li><li>
Skills Development &amp; Certifications</li><li>
Employee Referral Program</li><li>
Corporate Sponsored Events &amp; Community Outreach</li><li>
Emergency Back-Up Childcare Program</li><li>
Mobility Stipend</li></ul>
About Guidehouse
Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</div>

AI / Machine Learning Engineer

Authenticx

<div>Position Summary

Our ideal candidate will spend most of the time developing machine learning models using natural language process that will be integrated into our automated processes. This role is ideal for an engineer eager to grow and contribute to scalable, reliable services in a mission-driven environment. You will work alongside experienced engineers who deliver production grade models into our SaaS platform in a highly regulated environment. Your responsibility will be to build and train models, deploy model pipelines, and implement a variety of algorithms to extract insights from unstructured data. If needed, you will also troubleshoot and provide technical solutions to resolve issues. Ideally, we would love someone with experience in a startup or small company, but if not, willingness to wear a lot of hats and a self-starter is great too.

As a Data Scientist at Authenticx, your responsibilities will include:
<ul>
<li>Utilizing Python, SQL, and NLP/machine learning technologies to perform conversational analytics.</li>
<li>Analyzing structured and unstructured data and building predictive models using a variety of approaches.</li>
<li>Searching through large data sets and transforming data for analysis</li>
<li>Creating reports and presentations to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.</li>
<li>Document and maintain codebase standards, contributing to ongoing quality and reliability improvements.</li>
</ul>
Key Metrics
<ul>
<li>Delivery of assigned feature work on time and within quality standards.</li>
<li>Consistent adherence to code review and documentation standards.</li>
<li>Resolution of assigned defects and production issues within established SLAs.</li>
<li>Contribution to overall system reliability, uptime, and performance goals.</li>
<li>Demonstrated growth in technical proficiency and cross-team collaboration.</li>
</ul>
Qualifications

The ideal Data Scientists possesses the following skills &amp; qualifications:

Basic Qualifications:
<ul>
<li>S. or further education in Mathematics, Economics, Computer Science, Statistics, or another quantitative field</li>
<li>2+ years of experience as a Data Scientist, Machine Learning Engineer, or relevant software engineering in AI.</li>
<li>Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing</li>
<li>Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc...)</li>
<li>Experience with a deep learning framework (TensorFlow, Pytorch, etc..) and deep learning architectures (RNNs, CNNs, Transformers, etc...)</li>
<li>Experience with fine-tuning transformers and relevant libraries (Transformers, Unsloth, vLLM, TRL)</li>
<li>Deep understanding of statistical analysis, hypothesis testing, modern modeling techniques and mathematics skills (e.g., Linear Algebra, Calculus)
</li><li>Experience with SQL, databases, and other data management tools</li>
<li>Ability to work independently and with team members from different backgrounds</li>
<li>Effective communication and technical writing skills to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.</li>
<li>Internal Motivation and Intellectual Curiosity to uncover the answers to unknowns</li>
</ul>
Preferred Qualifications:
<ul>
<li>Software-as-a-service (SaaS) and/or healthcare industry experience</li>
<li>Familiarity with Cloud Technologies, Docker, and Kubernetes.</li>
<li>Experience with tools for experiment tracking and model management.</li>
<li>Experience with the full life cycle of model development. From data acquisition to training and deploying the model in a production environment.
</li><li>Experience with Agentic models and workflows is a plus.</li>
</ul>
Work Environment
<ul>
<li>This is a remote/virtual position.</li>
<li>You must live in the United States of America.</li>
<li>You must be authorized to work in the USA, now and in the future, WITHOUT requirement of sponsorship/visa.</li>
<li>Occasional travel to Indianapolis may be required (approximately 2&ndash;4 times per year) based on business needs.</li></ul></div>

Data Scientist

American business solutions inc

<div><h5 class="jobSectionHeader">Engagement Type</h5>
Contract<h5 class="jobSectionHeader"> 
</h5> 
Essential Duties/Responsibilities: 
 
The essential functions of this role are as follows: 
<ul><li>Provides mentoring and guidance to other, more junior Data Scientists and staff</li><li>Support the development of internal web applications or interactive tools that help operationalize and deliver data science products across the organization.</li><li>Acts as mentor and DS SME for other more junior DS users across the state and key external stakeholders</li><li>Engages with key business stakeholders on large projects and initiatives to understand their analytical and operational challenges and translate these needs into data solutions</li><li>Assesses the structure, content, and quality of the data through examination of source systems and data samples</li><li>Collaborates with other DS professionals, data engineers, and BI professionals around data/table structures to optimize architecture, ETL procedures, dashboards, and other self-service needs</li><li>Prioritizes requirements and create rapid prototypes and minimally viable products for end users</li><li>Looks for opportunities to improve current processes or find efficiencies by applying industry best practices as a DS professional</li><li>Mines and analyzes data from state databases to drive insights into problems and efficiency in processes while maintaining the standards of organizational excellence</li><li>Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation, to data mining, to more complex statistical methodologies</li><li>Uses and monitors the input for code repositories like GitHub for code version control</li><li>Provides end user education for interpretation of business data</li><li>Tests and evaluates data solutions as it relates to upgrades to existing software</li><li>Provides maintenance and support for existing data solutions for the agency</li><li>Documents and communicates technical specifications to ensure that proper techniques and standards are incorporated into deliverables and understood by the end users</li></ul>
The job profile is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. 
Job Requirements: 
 
<ul><li>The ideal candidate in this role should minimally have either:</li><li>A Bachelor&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience and passion for leveraging data to drive significant organizational impact, or</li><li>a Master&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics, or</li><li>4+ years of experience and passion for leveraging data to drive significant organizational impact.</li><li>Considerable knowledge using computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation</li><li>Broad knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications</li><li>Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks</li><li>Strong understanding of relational and dimensional databases, theories, principles, and practices</li><li>Exceptional analytical, conceptual, and problem-solving abilities</li><li>Must inhabit strategic thinking</li><li>Strong written/oral communication and presentation skills</li><li>Resourceful self-starter and highly motivated team player</li><li>Able to perform well in a fast-paced environment</li><li>Experience with data manipulation to include cleansing, standardizing, and transforming.</li><li>Experience in leading workshops or training sessions with a user community a plus</li><li>Experience with the following concepts or tools is not a requirement but considered a plus (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)</li><li>Experience generating and distributing visualizations to a broad range of audiences</li><li>Effective communicator and someone who enjoys getting to understand nuances of a problem</li><li>Proficiency using frameworks such as Shiny, Dash, Flask, or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications.</li></ul>
 
Supervisory Responsibilities/Direct Reports: 
 
The Data Scientist Intermediate may have supervisory responsibilities for lower data scientists (state employees or contractors). 
 
Difficulty of Work: 
The Data Scientist is required to manage multiple, complex, completing large scale data solutions/products, provide leadership and mentorship to team members, and provide thought leadership and continuous improvement strategies for the organization. 
 
Responsibility: 
The Data Scientist works closely with higher-level staff and/or management to outline general objectives and boundaries that the Data Scientist will follow to meet the requirements. Unusual problems or deviations from guidelines or practice are discussed with the manager. Work is reviewed for attainment of objectives and compliance with policy and practice. 
 
Personal Work Relationships: 
Works with core internal team of project managers, engagement directors, data scientists, data engineers; as well as agency staff, agency leadership, and community partners on dashboard projects.
<h5 class="jobSectionHeader">Required/Desired Skills</h5>
Skill Required/Desired Amount of Experience Bachelor&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience Required Or a Master&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics Required or 4+ years of experience and passion for leveraging data to drive significant organizational impact. Required Exp w/Shiny, Dash, Flask,or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications Required 2.0 Years Experience connecting to backend data pipelines, and deploy lightweight analytic applications Required 2.0 Years Experience using (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation Required 2.0 Years Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) Required 2.0 Years Experience with data manipulation to include cleansing, standardizing, and transforming Required 2.0 Years Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) Required 2.0 Years Strong understanding of relational and dimensional databases, theories, principles, and practices Required 2.0 Years Experience in leading workshops or training sessions with a user community a plus Required Exceptional analytical, conceptual, and problem-solving abilities Required Experience generating and distributing visualizations to a broad range of audiences Required Must inhabit strategic thinking Required Strong written/oral communication and presentation skills Required Resourceful self-starter and highly motivated team player Required Able to perform well in a fast-paced environment Required Effective communicator and someone who enjoys getting to understand nuances of a problem Required Experience with the following concepts or tools (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes) Highly desired</div>

Delta Faucet Company

<div>At Delta Faucet, we are committed to transforming everyday experiences with water through innovative products and exceptional service. As a leader in the plumbing industry, we take pride in our dedication to quality, sustainability, and customer satisfaction. We believe that diverse perspectives strengthen our mission to create solutions that inspire and elevate the lives of all our customers. We welcome individuals from all backgrounds to join us on this journey toward inclusivity and excellence.
Your Role at Delta Faucet
Are you passionate about using data science, artificial intelligence, and advanced analytics to propel decisions? If you are interested in driving meaningful change for a growth focused consumer products brand, this is an opportunity to join the market-leading Delta Faucet Company team as we use analytics to turbocharge strategic insights!
Reporting to the Manager of Data Science and Analytics, this role will work with analytics and domain specialists across the business to deliver high-impact insights and data science solutions. You will develop advanced analytical models, experimentation tests, applied AI techniques, and partner with business stakeholders to translate complex data into clear, actionable recommendations that support the company&rsquo;s growth initiatives. 
Responsibilities
As an Applied Data Scientist within Delta Faucet Company&rsquo;s Analytics Center of Excellence (ACoE), you will act as an owner of high impact analysis and data science initiatives that support complex, ambiguous business decisions. This role focuses on advanced analytics, experimentation, and applied AI.<ul><li>
Independently lead end-to-end analytics and data science projects, from problem framing through delivery of actionable insights.</li><li>
Apply statistical methods, machine learning, and analytical modeling to solve business problems related to growth, customer behavior, market dynamics, and operational efficiency.</li><li>
Develop and maintain analytical data models and curated datasets, partnering with data engineering and BI teams.</li><li>
Build AI and machine learning solutions that are aligned with business needs.</li><li>
Collaborate closely with business stakeholders to translate analytical findings into clear recommendations.</li><li>
Present data-driven recommendations to leaders across the organization, including tactical and C-suite.</li></ul> 
Qualifications<ul><li>
4+ years of experience in data science, advanced analytics, or applied machine learning roles.</li><li>
4+ years of hands-on experience applying statistical methods and analytical modeling to real business problems.</li><li>
4+ years of experience using Python for data analysis, modeling, and experimentation.</li><li>
4+ years of experience writing and refining complex SQL queries against large, structured datasets.</li><li>
3+ years of experience partnering directly with business stakeholders to translate analytical findings into actionable recommendations.</li><li>
2+ years of experience working in a modern analytics platform (e.g., Databricks, Spark/PySpark, or similar).</li><li>
1+ years of hands-on‑ experience applying generative AI technologies (e.g., LLM APIs, task‑specific GenAI workflows) in an enterprise analytics environment.</li><li>
Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field.</li></ul>
Preferred Qualifications<ul><li>
2+ years of experience with analytics engineering and data modeling, including building reusable, well-documented analytical datasets; familiarity with medallion architecture (bronze/silver/gold) preferred.</li><li>
1+ years of experience with model monitoring, experiment tracking, and model evaluation in production settings.</li><li>
1+ years of experience with conjoint analysis or other stated-preference research methods.</li></ul> 
Why Join Us?
At Delta Faucet Company, our people are our greatest assets. We value different perspectives and fostering an inclusive environment. You&rsquo;ll have the opportunity to shape the future of our brand, working alongside passionate professionals committed to excellence and innovation. Join us to lead progressive growth and make a significant impact within a leading organization.
Here are some of the benefits we offer for your personal and professional growth:<ul><li>
Culture: Recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.</li><li>
Wellbeing: Comprehensive benefit plans; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.</li><li>
Learning &amp; Development: LinkedIn Learning access; internal opportunities to work on projects cross-company.</li><li>
Social Impact: Four employee-led and self-directed Business Resource Groups; Paid volunteer day annually; Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe.</li></ul><h2 class="jobSectionHeader">
Company: Delta Faucet Company</h2>
Full time
Hiring Range: $88,700.00 - $139,260.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Delta Faucet Company (the &ldquo;Company&rdquo;) is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company&rsquo;s policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Delta Faucet Company is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English &amp; Spanish 
E-verify Right to Work Poster: English, Spanish
#LI-Remote</div>

Applied Data Scientist

Novisync

<div><div><div><div><div>Location: Indianapolis IN USA</div></div><div></div><div><div>
Start Date: 05/11/2026</div></div><div></div><div><div>
Pay Rate: $41.48</div></div><div></div><div><div>
The Data Scientist plays a key role by creating in-depth analyses by leveraging data science techniques, methods, and interpretations to convey accurate, meaningful insights that empower IDOH and other partners to make informed decisions in support of the health, safety, and well-being of the citizens of Indiana.Essential Duties/Responsibilities: 
 
The essential functions of this role are as follows: 
<ul><li>Provides mentoring and guidance to other, more junior Data Scientists and staff</li><li>Support the development of internal web applications or interactive tools that help operationalize and deliver data science products across the organization.</li><li>Acts as mentor and DS SME for other more junior DS users across the state and key external stakeholders</li><li>Engages with key business stakeholders on large projects and initiatives to understand their analytical and operational challenges and translate these needs into data solutions</li><li>Assesses the structure, content, and quality of the data through examination of source systems and data samples</li><li>Collaborates with other DS professionals, data engineers, and BI professionals around data/table structures to optimize architecture, ETL procedures, dashboards, and other self-service needs</li><li>Prioritizes requirements and create rapid prototypes and minimally viable products for end users</li><li>Looks for opportunities to improve current processes or find efficiencies by applying industry best practices as a DS professional</li><li>Mines and analyzes data from state databases to drive insights into problems and efficiency in processes while maintaining the standards of organizational excellence</li><li>Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation, to data mining, to more complex statistical methodologies</li><li>Uses and monitors the input for code repositories like GitHub for code version control</li><li>Provides end user education for interpretation of business data</li><li>Tests and evaluates data solutions as it relates to upgrades to existing software</li><li>Provides maintenance and support for existing data solutions for the agency</li><li>Documents and communicates technical specifications to ensure that proper techniques and standards are incorporated into deliverables and understood by the end users</li></ul>
The job profile is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. 
Job Requirements: 
 
<ul><li>The ideal candidate in this role should minimally have either:</li><li>A Bachelor&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience and passion for leveraging data to drive significant organizational impact, or</li><li>a Master&rsquo;s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics, or</li><li>4+ years of experience and passion for leveraging data to drive significant organizational impact.</li><li>Considerable knowledge using computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation</li><li>Broad knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications</li><li>Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks</li><li>Strong understanding of relational and dimensional databases, theories, principles, and practices</li><li>Exceptional analytical, conceptual, and problem-solving abilities</li><li>Must inhabit strategic thinking</li><li>Strong written/oral communication and presentation skills</li><li>Resourceful self-starter and highly motivated team player</li><li>Able to perform well in a fast-paced environment</li><li>Experience with data manipulation to include cleansing, standardizing, and transforming.</li><li>Experience in leading workshops or training sessions with a user community a plus</li><li>Experience with the following concepts or tools is not a requirement but considered a plus (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes)</li><li>Experience generating and distributing visualizations to a broad range of audiences</li><li>Effective communicator and someone who enjoys getting to understand nuances of a problem</li><li>Proficiency using frameworks such as Shiny, Dash, Flask, or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications.</li></ul> 
Supervisory Responsibilities/Direct Reports: 
 
The Data Scientist Intermediate may have supervisory responsibilities for lower data scientists (state employees or contractors). 
 
Difficulty of Work: 
The Data Scientist is required to manage multiple, complex, completing large scale data solutions/products, provide leadership and mentorship to team members, and provide thought leadership and continuous improvement strategies for the organization. 
 
Responsibility: 
The Data Scientist works closely with higher-level staff and/or management to outline general objectives and boundaries that the Data Scientist will follow to meet the requirements. Unusual problems or deviations from guidelines or practice are discussed with the manager. Work is reviewed for attainment of objectives and compliance with policy and practice. 
 
Personal Work Relationships: 
Works with core internal team of project managers, engagement directors, data scientists, data engineers; as well as agency staff, agency leadership, and community partners on dashboard projects.</div></div></div></div></div>

<div>We are K1x. Our platform powers the first fully digital K-1, transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. Trusted by leading institutional investors, fund administrators, and accounting firms, K1x replaces manual, error-prone workflows with scalable, intelligent software. k1x.io 
 
As our platform evolves toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a foundational pillar of our product and technology strategy.
About The Role
We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x&rsquo;s machine learning initiatives and future analytics-driven product features. 
 
This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML models, reporting, and embedded analytics.
What You&rsquo;ll Do<ul><li>Design, build, and maintain scalable data architectures supporting operational, analytical, and ML workloads.</li><li>Contribute to the evolution of K1x&rsquo;s data lakehouse strategy, including adoption of Snowflake.</li><li>Develop and maintain robust ETL/ELT pipelines for large-scale data processing.</li><li>Implement data quality checks, validation, and monitoring.</li><li>Enable machine learning workflows with clean, well-structured datasets.</li><li>Support analytics and reporting use cases including Power BI.</li><li>Partner with Product, Engineering, and AI teams on data solutions.</li></ul> 
Requirements 
Who You Are<ul><li>4&ndash;8+ years of experience in data engineering or backend engineering with a data focus.</li><li>Strong experience building data pipelines and ETL/ELT workflows.</li><li>Proficiency with SQL and relational data modeling.</li><li>Experience with cloud-based data platforms (Azure preferred).</li><li>Understanding of data quality, reliability, and monitoring.</li><li>Strong communication and collaboration skills.</li></ul>
It&rsquo;s Truly a Match If You Have<ul><li>An engineering mindset applied to data platforms.</li><li>Passion for building scalable, reliable data foundations.</li><li>Interest in enabling ML and analytics-driven products.</li><li>Experience or familiarity with Snowflake, SQL Server, Azure, and Power BI.</li><li>Comfort balancing near-term delivery with long-term architecture.</li></ul> 
Benefits 
<ul>
<li>Unlimited Vacation Policy + Sick Time + Holidays
</li><li>Paid Parental Leave
</li></ul><ul><li>Fully Remote Opportunity
</li><li>Healthcare Benefits and 401K
</li><li>Growing Startup Culture</li></ul></div>

Data Engineer

<div><div><h3 class="jobSectionHeader">The Machine Parts Inspector II is responsible for performing detailed inspections on a wide variety of precision and complex in-process and finished machined parts, highly complex components, castings, forgings, fabricated sheet metal parts, and hardware that is produced in-house and/or supplied by vendors.</h3>
</div><div><ul><li>Mechanical inspection of parts including first article, in-process, and final.</li>
<li>Verification of materials and processes and verification of certifications from sub-tier vendors.</li>
<li>Completion of all applicable paperwork (working to AS9100 standards).</li>
<li>Performance of various other quality tasks as required to ensure the timely delivery of precision machined parts to the customer.</li>
<li>Cleanliness of the work area and proper handling of tools, equipment, and stock to prevent damage or loss.</li>
<li>Assist in training other Machine Parts Inspector I</li>
<li>Related work including calibration of inspection tools, and development and enforcement of quality systems procedures necessary to satisfy AS9100, military, and customer specifications</li>
<li>Other duties as assigned.</li>
</ul>
Skills and Qualifications:
<ul>
<li>A minimum of 6 years mechanical inspection and/or machining experience.</li>
<li>Ability to perform complex set-ups for part inspection.</li>
<li>Must be proficient with complicated blueprints and advanced job shop mathematical calculations.</li>
<li>Familiar with all facets of inspection techniques, including manual CMM operation, a wide range of inspection and measuring tools, and surface plate set-ups.</li>
<li>Must be able to follow written instructions and to work with little to no supervision.</li>
<li>Strong organizational skills and familiarity with requirements of an AS9100 based quality management system.</li>
<li>Ensure that all required process operations have been performed on the product that is being inspected.</li>
<li>Document inspection results accurately and completely by completing forms, logs, and reports. Enters all quality data into the appropriate electronic or manual systems.</li>
<li>Thorough understanding of geometric dimensioning and tolerancing per ANSI Y14.5.</li>
<li>Requires bending, reaching and lifting of objects within V2X EHSS guidelines.</li>
<li>US. Citizenship with the ability to obtain a U.S. Department of Defense security clearance.</li>
<li>Basic computer skills.</li>
</ul>
Required education:
<ul>
<li>High School Diploma or GED</li>
</ul>
Benefits include the following:
<ul>
<li>Healthcare coverage</li>
<li>Retirement plan</li>
<li>Life insurance, AD&amp;D, and disability benefits</li>
<li>Wellness programs</li>
<li>Paid time off, including holidays</li>
<li>Learning and Development resources</li>
<li>Employee assistance resources</li>
</ul>
Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.</div></div>

Machine Parts Inspector II

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Machine Parts Inspector II