senior data developer

Fustis LLC

<div>Job Title:
Senior Big Data Developer
Location:
Washington, DC - Hybrid - Locals
Duration:
12 Months
Work Authorisation:
USC, GC, GC-EAD and H4-EAD
Pay Rate:
90-100/hr. on C2C
Mode of Interview:
Virtual 
<h2 class="jobSectionHeader"> 
Position Overview</h2>
The Data Architecture, Technology, and Analytics (DATA) team within the Federal Reserve Board&rsquo;s Division of Research &amp; Statistics (R&amp;S) is responsible for transforming how enterprise data is ingested, organized, analyzed, and visualized to support economic research and policy decision-making.
We are seeking a highly skilled Data Architect / Data Engineer to design, develop, and optimize modern data architectures, enterprise data platforms, and scalable data pipelines. This individual will play a critical role in supporting economists, researchers, analysts, and technical teams by ensuring efficient, reliable, and scalable access to data across the organization.
The ideal candidate is a hands-on data professional with deep expertise in data modeling, database architecture, ETL/ELT development, cloud platforms, and enterprise data management. This role requires strong analytical capabilities, excellent communication skills, and a passion for building data solutions that enable advanced research and business intelligence.
Key Responsibilities
Design, develop, and maintain enterprise-scale data architectures and data platforms. Build and optimize scalable ETL/ELT pipelines for ingestion, transformation, and delivery of structured and unstructured data. Develop conceptual, logical, and physical data models aligned with enterprise architecture standards. Architect and manage relational databases, data warehouses, data lakes, and modern data ecosystems. Support migration of data workflows and pipelines between on-premises and cloud environments. Implement workflow orchestration and automation using tools such as Airflow, Prefect, Dagster, or AWS Step Functions. Perform data integration across multiple internal and external data sources. Design and implement Change Data Capture (CDC) solutions for enterprise data warehousing initiatives. Optimize database performance, scalability, reliability, and data processing workloads. Collaborate with economists, researchers, analysts, and technical stakeholders to understand business requirements and deliver effective data solutions. Conduct root cause analysis of data issues and identify opportunities for process improvement and automation. Implement and maintain CI/CD pipelines and DataOps practices for data engineering projects. Support machine learning and advanced analytics initiatives through efficient data infrastructure and model deployment frameworks. Ensure data governance, security, quality, and compliance standards are followed across all solutions. Document architecture designs, technical specifications, and operational procedures. Required Qualifications
Education
Bachelor&rsquo;s Degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field. Master&rsquo;s Degree or other advanced degree is preferred. Experience
Minimum 7+ years of experience in Data Engineering, Data Architecture, Database Engineering, or related fields. Proven experience designing and implementing enterprise data platforms and large-scale data solutions. Required Technical Skills
Data Engineering &amp; Architecture
Strong expertise in data architecture, data modeling, and enterprise information architecture. Experience designing conceptual, logical, and physical data models. Extensive experience building and maintaining scalable data pipelines and processing frameworks. Experience implementing enterprise data warehouses, data lakes, and modern analytics platforms. Strong understanding of Change Data Capture (CDC) methodologies. Databases
Advanced SQL expertise. Hands-on experience with: PostgreSQL Microsoft SQL Server MySQL Experience with database administration, optimization, and performance tuning. Programming &amp; Scripting
Advanced proficiency in: Python R Strong scripting and automation experience. Experience with additional programming languages such as: Java Scala JavaScript Perl ETL/ELT &amp; Workflow Automation
Experience designing and automating ETL/ELT processes. Hands-on experience with workflow orchestration tools such as: Apache Airflow Prefect Dagster AWS Step Functions Cloud &amp; Modern Data Platforms
Experience working with: AWS Microsoft Azure Snowflake Experience migrating applications and data pipelines between on-premises and cloud environments. DevOps &amp; DataOps
Experience implementing and maintaining: CI/CD pipelines DataOps frameworks Experience with Git-based source control platforms: GitHub GitLab Big Data &amp; Analytics
Experience with: Distributed computing frameworks Large-scale data processing systems High-volume data workloads Experience processing structured and unstructured datasets. Linux &amp; Infrastructure
Strong development and deployment experience in Linux environments. Preferred Qualifications
Experience working with economic, financial, or regulatory datasets. Experience supporting research organizations or data-driven policy environments. Understanding of time-series data modeling, forecasting, and statistical analysis techniques. Experience with NoSQL technologies and Graph Databases. Experience developing, deploying, and maintaining Machine Learning models. Knowledge of enterprise data governance and metadata management frameworks. Experience supporting advanced analytics and AI-driven data initiatives. Soft Skills
Excellent verbal and written communication skills. Strong stakeholder management and customer service mindset. Exceptional analytical and problem-solving abilities. Ability to work independently and manage multiple priorities simultaneously. Strong troubleshooting and root-cause analysis skills. Detail-oriented with a focus on quality and continuous improvement.</div>

Senior Big Data Developer

Huntington Bank

<div><h1 class="jobSectionHeader">Description
</h1>Summary:
The Senior Data Scientist contributes to building and developing the organization&rsquo;s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.
Duties and Responsibilities:
<ul><li>Performs advanced analytics methods to extract value from business data.
</li><li>Performs large-scale experimentation and build data-driven models to answer business questions.
</li><li>Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
</li><li>Determines requirements that will be used to train and evolve deep learning models and algorithms.
</li><li>Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
</li><li>Influences product teams through presentation of data-based recommendations.
</li><li>Evangelizes best practices to analytics and products teams.
</li><li>Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
</li><li>Performs other duties as assigned.
</li></ul>Basic Qualifications:
<ul><li>Master&rsquo;s degree in computer science, statistics or economics
</li><li>3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.
</li></ul>Preferred Qualifications:
<ul><li>Up-to-date knowledge of machine learning and data analytics tools and techniques
</li><li>Strong knowledge in predictive modeling methodology
</li><li>Experienced at leveraging both structured and unstructured data sources
</li><li>Willingness and ability to learn new technologies on the job
</li><li>Demonstrated ability to communicate complex results to technical and non-technical audiences
</li><li>Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
</li><li>Strategic, intellectually curious thinker with focus on outcomes
</li><li>Professional image with the ability to form relationships across functions
</li><li>Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
</li><li>Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
</li><li>Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
</li><li>Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
</li>Financial Services background 
<li>
</li></ul> 
Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay)
Yes
Workplace Type:
Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We&rsquo;re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Huntington is an Equal Opportunity Employer. 
Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.</div>

Senior Data Scientist

Vodafone

<div>
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
 
 
 
 Role Purpose
 
 
 
 Vodafone Egypt consumer marketing team seeks a
 
 Senior
 
 
 Data Scientist
 
 to boost business`s decisions towards a data-driven decisions.
 
 
 As part of our Data Science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems and being positioned as the local technical expert.. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers.
 
 
 Your work will directly impact millions of our customers in the form of products, services and offers. You will gain hands on experience with Vodafone&rsquo;s huge volume of data and large-scale computing resources
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Identifying business opportunities to make a commercial difference
 </li>
 <li>
 leads the development of analytics initiatives to meet business requirements
 </li>
 <li>
 Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results, to create understanding and solution buy-in
 </li>
 <li>
 Recognised as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms and data sources
 </li>
 <li>
 Works closely with Technology teams to design, build, test, deploy, maintain and improve technology solutions and models
 </li>
 <li>
 Identifies new analytics trends and opportunities to drive the innovation agenda across business functions &amp; Advanced Analytics
 </li>
 <li>
 Spread Design Thinking and Agile methodologies
 
 
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
 </li>
 <li>
 You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion
 </li>
 <li>
 Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization
 </li>
 <li>
 Strong knowledge of Big Data technology (e.g. Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, Tableau, GIS)
 </li>
 <li>
 Deep and broad statistical modelling expertise in various domains
 </li>
 <li>
 Ability to work cross functional teams to translate business issues into potential analytics solutions
 </li>
 <li>
 Excellent analytical &amp; Presentation skills
 </li>
 <li>
 Ability to work in multitasks under pressure
 </li>
 <li>
 Excellent command of English
 
 
 
 </li>
 </ul>
 
 Must have technical / professional qualifications:
 
 
 
 <ul>
 <li>
 Master&rsquo;s (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science or Engineering
 </li>
 <li>
 Minimum of 3 years of relevant experience with a focus on advanced analytics and predictive modelling
 </li>
 <li>
 Competent in machine learning principles, deep learning and generative AI techniques
 </li>
 <li>
 Proficient in statistical packages and ML libraries (e.g. Python SciPy and Tensorflow, Spark MLlib)
 </li>
 <li>
 Familiar with leading visualisation tools (e.g. Tableau, Spotfire, Power BI)
 </li>
 <li>
 Familiar with implementing data transformations and algorithms in common programming languages
 </li>
 <li>
 Strong communication skills with prior experience communicating analytics results to senior management
 
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.
 
 
 Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.
 
 
 If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.
 
 
 Together we can.
</div>

Sr. Data Scientist

Valify Solutions

<div>
 
 Role Description
 
 
 
 This is a full-time hybrid role for a Senior Frontend Developer ReactJS at Valify Solutions. The Senior Frontend Developer will be responsible for back-end and front-end web development, responsive web design, and software development. This role will involve collaborating with the team while also having the flexibility for some remote work.
 
 
 
 What You&rsquo;ll Do As a ReactJS Developer
 
 
 
 <ul>
 <li>
 Develop and maintain responsive web and mobile applications integrated with a Python backend.
 </li>
 <li>
 Build interactive, scalable dashboards for data visualization and management.
 </li>
 <li>
 Collaborate with the design and backend teams to deliver seamless user experiences.
 </li>
 <li>
 Optimize application performance for smooth user interaction
 </li>
 </ul>
</div>

Frontend Developer

The Services Tree Enterprises 

Technical Recruiter (Remote &ndash; Contractual Position)Company: SourceTek Job Type: Contractual / Remote Experience Required: 5+ Years in Technical RecruitmentAbout the RoleSourceTek is looking for an experienced Technical Recruiter to join our team on a contractual basis. The ideal candidate will have a proven track record of successfully recruiting for technical, non-technical, senior-level, and consultant positions across multiple industries. This role requires expertise in sourcing, screening, interviewing, and closing candidates while managing multiple vacancies simultaneously.Key Responsibilities<ul><li>Manage the complete recruitment lifecycle from requirement gathering to onboarding.</li><li>Source, screen, interview, and shortlist qualified candidates through various channels including LinkedIn, Indeed, job boards, referrals, and networking.</li><li>Partner with hiring managers and clients to understand hiring needs and recruitment strategies.</li><li>Build and maintain talent pipelines for current and future hiring requirements.</li><li>Conduct competency-based and preliminary technical interviews.</li><li>Coordinate and schedule interviews between candidates and hiring managers.</li><li>Negotiate compensation packages and facilitate offer management.</li><li>Maintain accurate candidate records and recruitment reports.</li><li>Ensure an exceptional candidate experience throughout the hiring process.</li><li>Meet recruitment targets and achieve timely closures for open positions.</li><li>Stay updated on market trends, talent availability, and industry best practices.</li></ul>Positions You Will Recruit ForTechnical Roles<ul><li>Data Engineer</li><li>Power BI Developer</li><li>SharePoint Developer</li><li>Software Engineer</li><li>Full Stack Developer</li><li>.NET Developer</li><li>Java Developer</li><li>Python Developer</li><li>Cloud Engineer</li><li>DevOps Engineer</li><li>Data Analyst</li><li>Business Analyst</li><li>QA/Test Engineer</li><li>IT Support Engineer</li><li>Network Engineer</li><li>Cybersecurity Specialist</li><li>Solutions Architect</li><li>Project Manager</li><li>Technical Consultants</li><li>ERP Consultants</li></ul>Requirements<ul><li>Minimum 5+ years of experience in Technical Recruitment.</li><li>Proven experience recruiting for technical, non-technical, senior, and consultant-level positions.</li><li>Strong understanding of IT technologies, software development roles, cloud technologies, data platforms, and enterprise systems.</li><li>Hands-on experience using LinkedIn Recruiter, Indeed, ATS platforms, and other sourcing tools.</li><li>Excellent communication, negotiation, and stakeholder management skills.</li><li>Ability to manage multiple requisitions in a fast-paced environment.</li><li>Strong candidate assessment and interviewing skills.</li><li>Experience working in agency, consulting, or staffing environments is preferred.</li></ul>How to ApplyInterested candidates can send their updated resume to:talent@sourcetek.coExperience:<ul><li>Technical Recruitment : 5 years (Preferred)</li></ul>Work Location: In person

Technical Recruiter

Elder Research Inc

<div>Senior Data Scientist
General Information
Requisition # 717
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description &amp; Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service&rsquo;s mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
<ul><li>Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration</li>
<li>Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation</li>
<li>Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science&ndash;driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders</li>
<li>Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results</li>
<li>Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact</li>
<li>Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment</li>
<li>Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills</li>
</ul>
Minimum Qualifications:
<ul><li>Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences</li>
<li>5-10+ years of experience in data science, analytics, or a related technical field</li>
<li>Experience using version control systems (e.g., Git) and collaborative development practices</li>
<li>Strong understanding of relational databases and SQL</li>
<li>Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone</li>
<li>Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges</li>
<li>Willingness to travel and work on-site at client locations as required by project needs</li>
</ul>
Preferred Qualifications:
<ul><li>Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)</li>
<li>Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS</li>
<li>Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities</li>
<li>Experience with containerization and environment management (e.g., venv, conda)</li>
<li>Experience operating in secure or remote government environments, including use of bash and command-line tools</li>
</ul>
Clearance Requirements:
<ul><li>Must currently possess an IRS Public Trust clearance with Full Background Investigation</li>
</ul>
Physical Requirements:
<ul><li>Must be able to remain in a stationary position 50%</li>
<li>Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li>
<li>Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation</li>
</ul>
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.</div>

State of Oklahoma

<div>Job Posting Title
Senior Data Scientist
Agency
290 EMPLOYMENT SECURITY COMMISSION
Supervisory Organization
BPC-Investigations
Job Posting End Date
Refer to the date listed at the top of this posting, if available. Continuous if date is blank.
Note: Applications will be accepted until 11:59 PM on the day prior to the posting end date above.
Estimated Appointment End Date (Continuous if Blank)
Full/Part-Time
Full time
Job Type
Regular
Compensation
Annual Salary - $100,000.00 - $120,000.00 (based on education and experience)
Job Description
<h1 class="jobSectionHeader">If applicable, please upload a copy of your two most recent performance reviews along with your resume. 
</h1><h1 class="jobSectionHeader">Job Type/Salary/Location
</h1><ul><li>Full-time
</li><li>Vacancies: One
</li><li>Salary: $100,000.00 - $120,000.00 annually (based on education and experience)
</li><li>Primary Working Hours: M-F; 8:00am - 5:00pm
</li><li>FLSA Status: Exempt
</li><li>Location: Oklahoma City, OK
</li></ul><h1 class="jobSectionHeader">Benefits
</h1><ul><li>The State of Oklahoma offers a comprehensive Benefits Packet , including a generous benefit allowance to offset the cost of insurance premiums for employees and their eligible dependents. 
</li></ul><h1 class="jobSectionHeader">Position Essential Functions
</h1><ul><li>Project management for various data analysis projects.
</li><li>Present complex findings via reports, graphs, and interactive dashboards to stakeholders.
</li><li>Proficient with business intelligence tools like Tableau and Power BI.
</li><li>Communicate and partner with stakeholders to define business problems and translate analytical findings into actionable recommendations.
</li><li>Data management using consent, clarity, consistency, control &amp; transparency, and consequences in decision making.
</li><li>Building and maintaining data pipelines and infrastructure.
</li><li>Plan and organize a component of an agency or institutional program or a major division, program, or function established to accomplish a basic goal or mission of the agency.
</li><li>On-site attendance is an essential function of the position, as the role requires direct interaction with staff, clients, and on-site office resources.
</li></ul>These job functions, responsibilities and activities may change at any time with or without notice. 
<h1 class="jobSectionHeader">Valued Knowledge, Skills, Abilities and Competencies
</h1><ul><li>Knowledge, Skills and Abilities required at this level include knowledge of the methods of organization and management; of public administration; of agency policies and procedures; of grant or contract program requirements; of the legislative process; of basic research and statistical techniques; of federal and state laws and regulations relating to administration of assigned programs.
</li><li>Ability is required to establish and maintain effective working relationships with others; to communicate effectively, both orally and in writing; to evaluate potential outcomes and design ways to use data to prove or disprove perspectives; to exercise good judgment in analyzing situations and making decisions; to organize and present facts and opinions; to plan, direct, and review the work of others; to analyze complex situations and make responsible decisions; to coordinate the work of organizational units; and to plan, direct, and coordinate the functions and activities of other governmental organizations. Typically, these positions provide state-wide services that are large in size, scope, and complexity 
</li></ul><h1 class="jobSectionHeader">Physical Demands/Work Environment
</h1><ul><li>Work is typically performed in an office setting with climate-controlled settings and exposure to moderate noise level. While performing the duties of the job, employee is required to talk, stand, walk, and reach with hands and arms. This position requires regular periods of sitting or standing and daily use of computer and phone. It also requires the occasional use of the office machinery in accordance with safety and security protocols.
</li></ul><h1 class="jobSectionHeader">Minimum Qualifications
</h1><ul><li>Education and Experience requirements at this level consist of a bachelor's degree and five years of professional experience substituting one year of professional experience for each year of the required education. 
</li></ul><h1 class="jobSectionHeader">Special Skills/Requirements
</h1><ul><li>Computer Skills &ndash; Employee must be capable of proficiently using the OESC&rsquo;s standard software (Microsoft Office - Word, Outlook, Excel, Access, and Teams), and the Internet, as well as proficiency to learn other software as needed.
</li><li>Employee must be capable of lifting, carrying, and moving objects of up to 25 pounds.
</li></ul><h1 class="jobSectionHeader">Accommodation Statement
</h1><ul><li>OESC is an Equal Opportunity Employer. Reasonable accommodation to individuals with disabilities may be provided upon request.
</li></ul>Equal Opportunity Employment
The State of Oklahoma is an equal opportunity employer and does not discriminate on the basis of genetic information, race, religion, color, sex, age, national origin, or disability.
Current active State of Oklahoma employees must apply for open positions internally through the Workday Jobs Hub .
If you are needing any extra assistance or have any questions relating to a job you have applied for, please click the link below and find the agency for which you applied for additional information:
Agency Contact</div>

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