This role provides the opportunity to support analytics-enabled initiatives by developing and delivering data analysis and models that address defined business needs post audit closure.
Compensation
Base salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD
Responsibilities
Develop and implement analytics-enabled solutions to improve business processes, generate insights, and support business strategy
Own and deliver end-to-end analytics projects of moderate complexity, while contributing to larger, more complex initiatives
Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations
Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs
Requirements
Degree in Statistics, Mathematics, Computer Science, Engineering, or a related field
Bachelor’s degree with equivalent technical experience
Lead development and evaluation of oncology foundation models using large-scale omics and clinical datasets within Johnson & Johnson Innovative Medicine.
Support a key Federal customer with robust and repeatable data manipulation, large scale infrastructure for data ingestion, and interactive data visualization for custom client applications.
Compensation
The projected compensation range for this position is $104,200.00-$172,900.00.
Responsibilities
Responsible for data mining, data preparation, and reporting
Prepares and conducts analyses and studies, needs/gaps assessments
Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed
Documents and summarizes the results and develops and recommended solutions to the customer’s problems
Prepares big data, implements data models developed by others, and provides database support for customer solutions
Requirements
Bachelor’s Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline
Support a key Federal customer with high impact advanced analytics, data science pipeline development, and interactive data visualization for custom client applications.
Compensation
The projected compensation range for this position is $128,800.00-$214,500.00.
Responsibilities
Apply and validate data mining methods and machine learning models.
Design and implement data-driven solutions, with a specific focus on advanced analytical methods, data models, and visualizations.
Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations.
Identify trends and problems through complex big data analysis.
Maintain current knowledge of emerging tools and techniques in machine learning, statistical modeling, and analytics.
Requirements
Advanced Degree (Master’s) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or a closely related quantitative or mathematical discipline.
Lead integrated program management for delivery teams, drive Appian solution implementation, and mentor staff.
Compensation
$183,760.00 - $308,181.00
Responsibilities
Guide clients on implementation, agile delivery, integration, scalability, configuration management, DevSecOps, and other program initiatives
Coordinate architects to work with client enterprise architecture teams to design and deliver solutions
Coordinate implementation teams through complex technical solutions with Appian and tangential technologies
Support pre-sales activities to close new business – scope/level of efforts, respond to proposals, prepare SOWs, advise on project approaches, and present methodologies
Evaluate emerging or incumbent technologies for value and fit in client or back-office implementations
Requirements
Bachelor’s Degree (or equivalent) or higher in Computer Science, Information Systems, Systems Engineering, or related area
Nice to have: Active Appian Certification
Nice to have: Data management and data visualization/BI
Analyse von Wettbewerbsfahrzeugen und Fahrerassistenzsystemen, Entwicklung von Benchmark-Methoden und Einsatz von KI-Tools zur Automatisierung.
Compensation
Der Bruttostundenlohn für Werkstudierende beträgt aktuell 18,33 €.
Responsibilities
Recherchieren und Analysieren von Wettbewerbsfahrzeugen hinsichtlich ihrer Fahrerassistenz- und Automatisierungsfunktionen
Untersuchen von Sensorik, Steuergeräten und Systemarchitekturen der Fahrerassistenz
Durchführen von Benchmark-Analysen zum Funktionsverhalten von Fahrerassistenzsystemen im Wettbewerbsvergleich
Dokumentieren und strukturiertes Aufbereiten von Analyseergebnissen und technischen Erkenntnissen
Digitalisieren und Optimieren technischer Arbeitsabläufe sowie Erproben und Einsetzen von Copilot und weiteren LLMs für Recherche, Analyse und Dokumentation
Requirements
Bachelor's in Fahrzeugtechnik, Maschinenbau, Elektrotechnik, Informatik oder vergleichbare Studienrichtungen
Master's in Fahrzeugtechnik, Maschinenbau, Elektrotechnik, Informatik oder vergleichbare Studienrichtungen
Nice to have: Erste praktische Erfahrungen mit Large Language Models (z. B. Copilot oder vergleichbaren LLMs)
Lead the design of novel technologies for real-time scheduling of AI workloads on next-generation embedded devices.
Compensation
We offer a gross annual salary typically ranging from €65,000 to €75,000 determined according to objective criteria such as professional experience, competencies, and seniority. Employees may also be considered for a discretionary annual bonus ranging from 0 to 2 monthly salaries, subject to company evaluation. The applicable collective bargaining agreement is the CCNL Telecommunications, within level 6°-7°.
Responsibilities
Design architectural solutions for the operating system and middleware that can successfully integrate deterministic execution with novel AI technologies.
Increase the reliability and reduce end-to-end latencies of critical computation chains also including AI inference.
Develop key OS technologies to support efficient AI model inference and heterogeneous resource scheduling, enabling a solid foundation for embedded AI applications.
Requirements
M.Sc degree in Computer Science, Computer or Electronic Engineering
Nice to have: Low-level performance analysis and optimization for embedded systems
Nice to have: Performance optimization of LLMs on edge devices
Provide independent and objective audit and advisory services to improve internal controls and business performance within Fidelity’s corporate audit function.
Compensation
The base salary range for this position is $67,000-$127,000 per year.
Responsibilities
Perform complex technology and business-integrated audits
Build understanding of complex functions with business and technology management
Workflow technology and end-to-end related processes highlighting risks and controls
Leverage audit automation tools
Perform audit test work including data analysis and control testing
Requirements
BA/BS/MS in Technology, Information Systems, Cybersecurity, or related field of study
Nice to have: professional audit or information security certifications
Nice to have: cloud computing associate-level certifications
Nice to have: security or professional cloud certifications
Reliability & Data Analysis Engineer to join the team in Rzeszow, Poland, focusing on data analysis, ETL, and predictive modeling.
Compensation
Summary pay range: PLN 204 000 - PLN 276 000
Responsibilities
Analyze & interpret large datasets; develop and communicate clear recommendations based on data insights.
Support design and implementation of data models and ETL processes to ingest and transform structured/unstructured data.
Work with cross-functional teams to define and implement data requirements, and support data instrumentation and capture.
Participate in the definition of data governance policies to ensure data quality, consistency, and compliance.
Prepare data for analytics by cleansing, transforming, aggregating, and integrating data from multiple sources.
Requirements
Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
The anticipated base pay range for this position is: €63,800.00 - €99,820.00
Responsibilities
Collaborate with Oncology Translational Research to develop computational models for precision medicine and drug development
Analyze and integrate high-dimensional biological data, including single-cell and spatial transcriptomics, for model development, training, and validation
Develop and implement scalable statistical, machine learning, and deep learning approaches using large-scale transcriptomic and multimodal datasets
Design rigorous model evaluation strategies, including appropriate benchmarks, validation datasets, and biologically relevant performance metrics
Partner with experimental and translational scientists to design studies that enable robust evaluation and interpretation of computational predictions
Requirements
Ph.D. in computer science, artificial intelligence, bioinformatics, computational biology, statistics, or related quantitative field
Data AnalystNewMANTECH · Remote, US
Werkstudent Wettbewerbsanalyse Fahrassistenzsysteme (w/m/d)NewVolkswagen AG · Wolfsburg, Germany
Product Manager Data ScienceNewJetBlue Airways Corporation · Long Island City, US
Reliability & Data Analysis EngineerNewBoeing · Rzeszow, Poland