Data & ML Architect

Associate Director RA & QA

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Business Strategy Analyst

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Senior Manager - Portfolio Development

Senior Data Engineer

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Role Description: <ul><li>The Associate Director – Regulatory Affairs (CA) will lead the development and execution of regulatory strategies to support the timely approval, lifecycle management, and commercialization of generic pharmaceutical products in Canada. </li><li>The role will focus heavily on Abbreviated New Drug Submissions (ANDS) and Supplemental ANDS filings, while acting as the primary interface with Health Canada for regulatory discussions, clarifications, and negotiations.</li><li>This position plays a critical strategic role in new product development, portfolio expansion, and in-licensing evaluation, ensuring all regulatory activities align with Health Canada requirements, corporate objectives, and market access timelines.</li><li>The Director will also support portfolio maximization (PMX) initiatives, identify regulatory opportunities, and oversee a small regulatory team.</li></ul> Responsibilities: Regulatory Strategy &amp; Leadership <ul><li>Develop and implement regulatory strategies for ANDS submissions to Health Canada that maximize probability of approval and accelerate time to market.</li><li>Provide strategic regulatory guidance during product selection and development phases, including formulation, bioequivalence, and labeling strategy.</li><li>Ensure regulatory considerations are integrated into R&amp;D, clinical, CMC, and commercial planning.</li><li>Advise senior leadership on Canadian regulatory landscape, evolving guidelines, and approval pathways.</li><li>Lead regulatory planning for first-to-file, complex generics, and niche opportunities where applicable.</li></ul> Health Canada Engagement &amp; Regulatory Submissions <ul><li>Serve as the primary liaison with Health Canada, maintaining professional and proactive relationships with regulatory authorities.</li><li>Lead preparation and submission of: o Abbreviated New Drug Submissions (ANDS)</li><li>Supplemental ANDS (SANDS)</li><li>Notifiable Changes</li><li>Post-approval regulatory filings</li><li>Manage Health Canada deficiency responses, clarification requests, and review cycles.</li><li>Coordinate cross-functional teams to ensure high-quality regulatory dossiers</li><li>Represent the company in Health Canada meetings, scientific advice discussions, and regulatory negotiations.</li><li>Track and interpret Health Canada guidance updates, policy changes, and regulatory precedents affecting generic drug approvals.</li></ul> In-Licensing &amp; Regulatory Due Diligence <ul><li>Conduct regulatory due diligence for potential in-licensing and partnership opportunities.</li><li>Evaluation of regulatory pathways and submission feasibility</li><li>Data package completeness</li><li>Bioequivalence strategy</li><li>Intellectual property and exclusivity considerations</li><li>Estimated approval timelines and risks</li><li>Provide regulatory risk assessments and strategic recommendations to senior management during deal evaluation.</li><li>Support technology transfer and regulatory integration of licensed products into the company’s Canadian portfolio.</li></ul> Portfolio Management &amp; Lifecycle Optimization <ul><li>Support portfolio maximization (PMX) initiatives, including o Label expansions</li><li>New strengths and dosage forms</li><li>Site transfers</li><li>Manufacturing changes</li><li>Competitive lifecycle strategies</li><li>Identify regulatory opportunities to extend product lifecycle or improve market competitiveness.</li><li>Partner with commercial, market access, and supply chain teams to align regulatory activities with business objectives.</li></ul> Cross-Functional Collaboration <ul><li>Work closely with internal teams including o R&amp;D / Formulation Development</li><li>Clinical &amp; Bioequivalence</li><li>Quality Assurance / Quality Control</li><li>CMC / Manufacturing</li><li>Intellectual Property</li><li>Business Development</li><li>Provide regulatory input during product development milestones and technical reviews.</li><li>Ensure regulatory compliance with Health Canada, ICH, and global regulatory standards.</li></ul> Team Leadership &amp; Development <ul><li>Lead, mentor, and develop 1–3 regulatory associates/managers.</li><li>Oversee work allocation, submission timelines, and performance development.</li><li>Build a high-performance regulatory function capable of managing increasing submission volume.</li><li>Promote a culture of accountability, quality, and regulatory excellence.</li></ul> Requirements: Education &amp; Experience <ul><li>Advanced degrees in Pharmacy, Life Sciences, Pharmacology, Regulatory Affairs, or related discipline.</li><li>Regulatory certification (e.g., RAC) is considered an asset.</li><li>15–20 years of regulatory affairs experience within the pharmaceutical industry.</li><li>Extensive experience with Canadian regulatory submissions, particularly:</li><li>ANDS</li><li>SANDS</li><li>eCTD filings</li><li>Demonstrated experience interacting directly with Health Canada.</li><li>Strong understanding of Generic drug approval pathways</li><li>Bioequivalence requirements</li><li>CMC regulatory expectations</li><li>Experience supporting business development or in-licensing regulatory evaluations.</li><li>Previous team leadership or mentoring experience preferred.</li></ul> Core Competencies <ul><li>Strategic Thinking Ability to translate regulatory requirements into business-focused strategies that accelerate approvals and strengthen the company’s competitive position.</li><li>Regulatory Expertise Deep knowledge of Health Canada regulatory frameworks, ANDS requirements, and generic drug approval processes.</li><li>Stakeholder Influence Proven ability to engage effectively with regulatory authorities, internal leadership, and external partners</li><li>Physical Requirements</li></ul> Physical &amp; mental requirements: <ul><li>Business travel (15% of time), driving as part of work responsibilities.</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

Role Description: <ul><li class="ql-align-justify">The Business Strategy Analyst supports the execution of the Group’s strategic priorities, operational excellence agenda, and performance management frameworks.</li><li class="ql-align-justify">Reporting to the Strategy &amp; Operations Manager, the role provides analytical, process, and reporting support to help translate strategy into effective execution across the Group’s enabling functions and business units.</li></ul> Responsibilities: <ul><li>Strategy Execution SupportAssist in tracking progress against strategic initiatives, KPIs, and overall business objectives.</li><li>PMO &amp; Project TrackingBuild and maintain project plans, track milestones, risks, and dependencies, and ensure timely execution.</li><li>Dashboarding &amp; ReportingPrepare dashboards, MIS reports, and performance summaries for leadership and stakeholders.</li><li>Cross-Functional CoordinationWork with multiple business functions to drive alignment, follow-ups, and accountability on key initiatives.</li><li>Operational Excellence &amp; Process SupportSupport process improvement initiatives, SOP creation, and transformation projects (e.g., outsourcing, efficiency programs).</li></ul>﻿Requirements: Knowledge, Skills, Qualifications and Experience required for this Role <ul><li class="ql-align-justify">Strategy Execution &amp; Performance Support</li><li class="ql-align-justify">Operational Excellence &amp; Business Process Improvement</li><li class="ql-align-justify">Project &amp; Initiative Coordination</li><li class="ql-align-justify">Reporting, Insights &amp; Information Management</li><li class="ql-align-justify">Stakeholder, Governance &amp; Strategy Administration Support</li></ul> Experience &amp; Knowledge: <ul><li>2–4 years’ experience in business analysis, strategy, operations, consulting, finance, or process / project support roles.</li><li>Exposure to operational excellence, process improvement, PMO, or transformation environments preferred.</li><li>Working knowledge of financial statements and basic financial analysis.</li><li>Experience supporting system or process change initiatives (requirements, SOPs, UAT, or adoption tracking) is an advantage</li></ul>&nbsp;Education: <ul><li>Bachelor’s degree in Business Administration, Economics, Finance, Engineering, Information Systems, or another relevant analytical or business discipline.</li><li>A strong analytical or quantitative academic background is preferred.</li><li>Postgraduate qualifications (e.g. MBA, MSc) or professional certifications in strategy, business analysis, project management, or operational excellence (e.g. Lean, Six Sigma, PMP) are not required, but will be considered an advantage at junior level.</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

Responsibilities: <ul><li>Demonstrate accountability by ensuring timely and high-quality project delivery.</li><li>Be result driven, consistently achieving measurable outcomes and meeting goals.</li><li>Act as a team player, collaborating effectively with cross-functional teams.</li><li>Exhibit a can-do mentality, tackling challenges with a proactive and positive approach.</li><li>Apply software engineering patterns and principles to design, develop, test, integrate, maintain, troubleshoot and document complex and varied software solutions and incorporate security practices in newly developed and maintained applications.</li><li>Participate in peer code review sessions to review code, coach peers and ensure code quality.</li><li>Take the lead in the assigned agile team to adopt agile philosophies, facilitate agile ceremonies and identify continuous improvement opportunities.</li><li>Incorporate the companys engineering and development best practices within the full software development lifecycle including coding standards, code reviews, source control management, building processes, testing and security principles, to deliver high quality code rapidly.</li><li>Collaborate to lead demonstration and continuous feedback sessions to improve development and help drive the long term vision.</li><li>Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills.</li><li>Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field or equivalent experience</li><li>Confirmed experience automating pipelines for continuous integration, testing, delivery and security.</li><li>Confirmed experience architecting applications, databases, services or integrations.</li><li>Extensive experience with .NET Framework and .NET Core.</li><li>Familiarity with front-end technologies like HTML, CSS, JavaScript, and frameworks such as Angular, React, or Vue.js.</li><li>Experience with DevOps practices and tools such as Docker and CI/CD pipelines.</li><li>Knowledge of SQL Server and / or PostgreSQL for database design and management.</li><li>Hands-on experience with Kubernetes for container orchestration and management.</li><li>Experience with cloud platforms such as Azure, AWS, or GCP.</li><li>Minimum of 5 years of related work experience in software development using .NET technologies.</li></ul>

Key Responsibilities: Global Portfolio Strategy <ul><li>Define and implement a unified global portfolio vision to meet future consumer/customer needs for filters and beyond filters (combustibles and next generation products)</li><li>Direct multi category program and project management to ensure innovation efforts are focused towards building a healthy portfolio</li><li>Balance global consistency with regional customization to maximize market relevance and profitability.</li><li>Oversee portfolio lifecycle management, including launches, rationalization, and category transitions.</li></ul>&nbsp;Market &amp; Consumer Insights <ul><li>Lead global research initiatives to capture consumer trends, competitive intelligence, and regulatory shifts across regions.</li><li>Translate insights into global portfolio strategies and innovation pipelines</li></ul> Innovation &amp; Product Development <ul><li>Drive global innovation programs, ensuring new products meet consumer demand and comply with international regulations.</li><li>Be the one stop shop for innovation – where commercial team and customers channel their initial ideas and requests before being formalized into innovation projects</li></ul>&nbsp;Cross-Regional Leadership <ul><li>Align regional commercial directors and managers under a global framework.</li><li>Facilitate knowledge sharing and best practices across markets to accelerate growth.</li><li>Act as the key liaison between commercial, operations and innovations teams</li></ul>&nbsp;Regulatory &amp; Compliance Oversight <ul><li>Monitor and interpret global regulatory developments impacting tobacco categories.</li><li>Ensure portfolio decisions adhere to international laws, trade agreements, and corporate responsibility standards.</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in engineering ,Business, Marketing, Economics, or related field; MBA strongly preferred.</li><li>12+ years of experience in FMCG, tobacco, or regulated industries, with at least 5 years in global portfolio/category leadership.</li><li>Deep understanding of international tobacco industry dynamics, consumer behavior, and regulatory frameworks.</li><li>Proven track record in global strategic planning, innovation, and cross-market leadership.</li><li>Exceptional communication, negotiation, and stakeholder management skills across diverse cultures.</li></ul>&nbsp;Competencies <ul><li>Strategic global mindset with commercial acumen.</li><li>Ability to balance global consistency with local market needs.</li><li>Leadership and team development across geographies.</li><li>Strong influencing skills in complex stakeholder environments.</li><li>Ethical decision-making and commitment to responsible global business practices.</li></ul>

Responsibilities: Data Infrastructure:&nbsp; <ul><li>Prepares data infrastructure to support the efficient storage and retrieval of data.</li></ul> Data Formats:&nbsp; <ul><li>Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.</li></ul> Data &amp; Analytical Solutions:&nbsp;&nbsp; <ul><li>Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li></ul> Data Pipelines:&nbsp;&nbsp; <ul><li>Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li></ul> Data Systems:&nbsp;&nbsp; <ul><li>Reviews existing data systems and architectures to identify areas for improvement and optimization.</li></ul> Stakeholder Management: <ul><li>Collaborates with multi-functional data and advanced analytic teams as well as with business teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li></ul> Data Frameworks:&nbsp; <ul><li>Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li></ul> Automated Deployment Pipelines:&nbsp;&nbsp; <ul><li>Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li></ul> Data Modeling:&nbsp;&nbsp; <ul><li>Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.</li></ul>

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39 frontend frameworks Jobs found

Data & ML Architect

Associate Director RA & QA

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Business Strategy Analyst

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Senior Manager - Portfolio Development

Senior Data Engineer

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39 frontend frameworks Jobs found

Data & ML Architect

Associate Director RA & QA

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Business Strategy Analyst

Manager, Data Engineering

Sr. Software Engineer - Ag & Trading .Net

Senior Manager - Portfolio Development

Senior Data Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.