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Detroit, Michigan
ServiceNow - Business Analyst / Process Consultant
Contract
Position Overview:
As a ServiceNow HRSD Business Process Consultant, you will play a critical role in working with our clients to analyze, design, and optimize their HR service delivery processes using the ServiceNow HR Service Delivery (HRSD) module. You will collaborate closely with clients to understand their HR needs, configure the ServiceNow platform to meet those needs, and provide expertise on best practices in HRSD.
Key Responsibilities:
- Conduct in-depth assessments of clients' HR service delivery processes to identify pain points and areas for improvement.
- Collaborate with clients to gather and document HR business requirements.
- Design, configure, and implement solutions within the ServiceNow HRSD module to automate and optimize HR processes.
- Provide guidance on best practices for HRSD process design and configuration.
- Collaborate with cross-functional teams to integrate HRSD solutions with other systems as needed.
- Assist with user acceptance testing (UAT) and training activities.
- Stay current with ServiceNow HRSD updates and enhancements to provide informed recommendations to clients.
- Provide ongoing support and troubleshooting for HRSD solutions.
Qualifications:
- Bachelor's degree in Human Resources, Business Administration, or a related field (or equivalent work experience).
- Proven experience as a ServiceNow HRSD Business Process Consultant.
- In-depth knowledge of HR service delivery processes and best practices.
- Strong proficiency in configuring and customizing the ServiceNow HRSD module.
- ServiceNow Certified HRSD Implementation Specialist certification preferred.
- Excellent communication and client-facing skills.
- Strong problem-solving abilities and attention to detail.
- Ability to work both independently and as part of a team.
- Project management skills and experience are a plus.
Position Overview:
As a ServiceNow Developer specializing in Now Mobile development, you will be responsible for designing, developing, and implementing mobile solutions on the ServiceNow platform to enhance our clients' digital experiences. You will work closely with our clients to understand their business needs and translate them into effective mobile solutions.
Key Responsibilities:
- Collaborate with clients and internal teams to gather requirements and define mobile application specifications.
- Design, develop, and customize mobile applications on the ServiceNow platform.
- Implement mobile app enhancements, updates, and integrations with third-party systems.
- Optimize and maintain mobile apps for performance, scalability, and security.
- Troubleshoot and resolve mobile app issues in a timely manner.
- Stay current with ServiceNow and mobile development best practices, trends, and technologies.
- Provide technical guidance and mentorship to junior developers as needed.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- Proven experience as a ServiceNow Developer with a focus on mobile application development.
- Strong proficiency in JavaScript, HTML, CSS, and scripting in ServiceNow.
- Experience with ServiceNow Mobile App Development (Now Mobile) is required.
- Knowledge of ServiceNow Integration Hub and REST API is a plus.
- ServiceNow Certified Application Developer certification preferred.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork skills.
- Ability to work independently and meet project deadlines.
Company Overview: Join a Fortune 50 financial services firm at the forefront of innovation, leveraging cutting-edge technologies and data-driven strategies to optimize decision-making and drive business growth. As a Director of Data Science with a strong focus on Geo-Spatial data, you will lead a high-performing team of data scientists, drive strategic initiatives, and contribute to the success of the organization.
Key Responsibilities:
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Leadership and Strategy:
- Develop and communicate a comprehensive data science strategy aligned with the company's overall business objectives, with a specialized focus on Geo-Spatial data analytics.
- Lead and mentor a team of data scientists, providing guidance on technical expertise, project management, and professional development.
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Geo-Spatial Data Analysis and Modeling:
- Utilize advanced analytics techniques to extract insights and patterns from Geo-Spatial data, providing valuable business intelligence and supporting decision-making.
- Build and deploy complex models and algorithms to solve geo-spatial challenges, integrating data sources such as GPS, satellite imagery, and location-based services.
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Technology and Tools:
- Leverage a diverse set of technologies and tools, including Python, R, SQL, arcGIS, PySpark, and PyTorch, to develop robust and scalable data science solutions.
- Stay updated with emerging technologies in Geo-Spatial data analysis and continuously enhance the team's technical capabilities.
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Collaboration and Stakeholder Engagement:
- Collaborate with cross-functional teams and stakeholders to identify business requirements and ensure data science initiatives align with organizational needs and objectives.
- Translate complex technical findings into actionable insights and recommendations for both technical and non-technical stakeholders.
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Project Management and Execution:
- Oversee end-to-end project lifecycle, from project initiation to deployment, ensuring timelines and deliverables are met within defined budgets and scope.
- Manage resources effectively to optimize project execution, prioritize tasks, and allocate work to achieve maximum efficiency and productivity.
Qualifications:
- Education: Master's or Ph.D. in a relevant field such as Data Science, Computer Science, Statistics, Geography, or a related discipline.
- Experience:Â 5 years of experience focused on Geo-Spatial data analysis and modeling.
- Technical Skills:
- Proficiency in Python, R, SQL, arcGIS, PySpark, and PyTorch.
- Strong knowledge of Geo-Spatial data analysis, GIS principles, and mapping technologies.
- Leadership and Management:
- Proven experience in leading and managing a team of data scientists.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate and influence stakeholders at all levels.
- Strategic Thinking:
- Ability to develop and execute data science strategies aligned with organizational goals and industry trends.
- Strong business acumen and strategic thinking to drive the use of data science for competitive advantage.
We Offer:
- Competitive compensation package and performance-based incentives.
- Comprehensive benefits, including healthcare, retirement plans, and employee wellness programs.
- Opportunities for career growth and advancement within a globally recognized Fortune 50 financial services firm.
- A collaborative and innovative work environment that fosters creativity and encourages continuous learning and development.
Join our team and contribute to revolutionizing data science in the financial services industry with a focus on Geo-Spatial analytics!
Global Elite Partner opportunity for a ServiceNow Technical Architect. This employer is a responsible leader and works with determination to create a positive impact.
By offering cutting-edge solutions, our team of talented professionals drives digital change in the heart of their customers businesses, making each project mission critical.
Responsibilities:
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Own technical specification and implementation of ServiceNow integration
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Understand business needs, create appropriate ServiceNow solutions, responsible for the digital transformation
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Offer expertise on ServiceNow development
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Develop technical solutions and provide technical expertise for any ServiceNow development and technical issues
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Drive digital transformation, automation, and integration
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Build service catalog, workflows, and fulfilment automation
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Integrate ServiceNow with cloud service providers and applications
Requirements:
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Experience in software development or equivalent
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Experience in ServiceNow development, design, or implementation
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Preferably two valid ServiceNow core certifications
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In-depth knowledge of ServiceNow platform - ITSM, HRSD, CSM
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Knowledge of agile and waterfall project management
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Strong analytical and problem-solving skills
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Excellent communication skills in German and English
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Willingness to travel within Germany
If you would like more information on the role, please send your CV and availability to ailsa@alldus.com
Duration: 6 months
Location: Dublin
Day Rate: Competitive
An international customer of Alldus is seeking a skilled SOAR Engineer for an initial 6 month day rate contract. This is an exciting opportunity to enhance a threat detection and response function within an internationally recognized cyber security division.
This is a technical role where the right candidate will ideally come from a Software Engineering/Development background.
Key Responsibilities:
- FortiSOAR Implementation: Deploy, configure, and maintain the FortiSOAR platform, ensuring its availability, scalability, and performance.
- Automation and Workflow Development: Design and build automation workflows to streamline security incident response processes, including alert triage, enrichment, and remediation.
- Integration: Integrate FortiSOAR with various security tools, such as SIEM, IDS/IPS, and endpoint security solutions, to create a unified and cohesive security ecosystem.
- Incident Response: Collaborate with the incident response team to develop playbooks and runbooks, allowing for efficient incident resolution and compliance with established procedures.
- Custom Scripting: Develop custom scripts and connectors to extend FortiSOAR's functionality and adapt it to specific organizational needs.
Continuous Improvement: Monitor the FortiSOAR platform's performance and effectiveness, making continuous improvements to optimize workflows and enhance security operations.
Requirements:
- Proven Software Development Experience: Demonstrated experience as a Software Developer or Software Engineer is essential.
- Python Proficiency: Possess expertise in the Python programming language, and familiarity with the Jinja2 framework is crucial for developing and customizing automation logic.
- Web Services and API Knowledge: Solid understanding of web services and HTTP request methods. Experience with APIs to fetch, parse, and send data to create decision-based workflows is required.
- Regular Expressions: Proficiency in the use of regular expressions for data manipulation and pattern matching.
- Cybersecurity Understanding: A basic understanding of cybersecurity terms and concepts is beneficial, as it helps in aligning automation with security requirements.
- FortiSOAR Training (Optional): Completion of "FortiSOAR Design and Development" training or prior work experience with other SOAR products is a plus, but not mandatory.
If you are interested in applying for this contract position, please share an updated CV and we can discuss later this week. Please note, this position does not provide Visa sponsorship.
Company Overview:
Join a dynamic and innovative healthcare-focused organization at the forefront of leveraging advanced technologies in data science. As a Senior Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a pivotal role in building end-to-end data science projects that transform healthcare data into actionable insights, ultimately improving patient outcomes and healthcare delivery.
Key Responsibilities:
NLP and LLM Model Development:
- Develop state-of-the-art NLP and LLM models to extract valuable information and patterns from electronic health records, medical records, and medical claims data.
- Optimize and fine-tune models for accuracy, efficiency, and scalability, ensuring they can handle high volumes of healthcare data in production environments.
End-to-End Data Science Projects:
- Lead the design, development, and deployment of end-to-end data science projects from data collection and preprocessing to model development, evaluation, and production deployment.
- Collaborate with cross-functional teams to ensure seamless integration of NLP and LLM models into healthcare systems and processes.
Data Processing and Integration:
- Engineer and preprocess healthcare data to ensure it is suitable for modeling, addressing challenges such as data cleaning, data augmentation, and feature engineering.
- Integrate various data sources and types, including electronic health records, medical records, and medical claims data, to derive comprehensive insights.
Performance Monitoring and Optimization:
- Establish monitoring systems to track model performance, detect anomalies, and measure the impact of models on healthcare outcomes.
- Continuously optimize models and algorithms to improve performance, scalability, and efficiency in real-world production settings.
Collaboration and Knowledge Sharing:
- Collaborate with multidisciplinary teams, including clinicians, data engineers, and product managers, to ensure the alignment of data science projects with organizational goals and objectives.
- Share knowledge and insights with the team, keeping them informed about advancements in NLP, LLMs, and healthcare data analytics.
Qualifications:
- Education: Master's or Ph.D. in a relevant field such as Data Science, Computer Science, Artificial Intelligence, or Healthcare Informatics.
- Experience:
- Minimum of 3 years of hands-on experience in data science, with a focus on NLP and LLMs in healthcare.
- Proven track record of successfully building and deploying data science projects in healthcare settings, particularly using electronic health records and medical claims data.
- Technical Skills:
- Proficiency in Python and relevant data science libraries (e.g., NLTK, spaCy, transformers).
- Strong understanding of NLP techniques, LLMs (e.g., BERT, GPT), and deep learning architectures.
- Experience working with healthcare data, including electronic health records and medical claims data.
- Healthcare Domain Knowledge:
- Understanding of healthcare terminologies, healthcare systems, and healthcare data privacy and compliance standards (e.g., HIPAA).
- Communication and Collaboration:
- Excellent communication skills, with the ability to effectively convey complex ideas and findings to both technical and non-technical stakeholders.
- Proven ability to collaborate in a team-oriented environment and work effectively across multiple departments.
Join us in revolutionizing healthcare data science with NLP and LLMs, and make a significant impact on patient care and outcomes!
Apply directly or send your resume to angelo@alldus.com!