senior data scientist

PaneraTech, Inc.

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 PaneraTech is a high-tech company that serves manufacturers in over 40 countries. Our disruptive technology offers unparalleled solutions that are often patent protected. Industries that use high-temperature processes, such as glass and steel, rely on PaneraTech to solve the major challenges they face. We leverage both AI and human expertise to improve efficiency, worker knowledge, and safety. We help in two major areas:
 <br/>
 <br/>
 <ul>
  <li>
   Asset Life Extension - With our patented solution in the glass and steel industry, we help manufacturers make data-driven decisions using sensors, data, and AI. This results in longer asset campaigns safely with higher annual production
  </li>
  <li>
   Enabling the next generation of workers - Heavy industries have relied on the experience of employees who worked for 20-30 years in one plant. As a generation of operators and engineers retire, we bridge the experience gap with technology, data, and expertise. We offer solutions to our customers to make their process more data-driven so that an early career workforce can flourish.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Working at PaneraTech
   <br/>
   <br/>
  </strong>
 </strong>
 At PaneraTech, you will be part of a global, innovative and hybrid working team. Our corporate office is based in the United States with employees spread across Europe, Asia, and South America. Turkey office is in the Hacettepe Teknokent. In this collaborative and inspiring culture that is fostered by a creative and intellectually stimulating work environment, you will be encouraged to bring the best out of yourself and your colleagues. We are looking for professionals willing to work in a fast-paced environment, cannot wait to excel in their work and are crazy about improvement! We recognize our colleagues' achievements and both individual and team performance is valuable to us.
 <br/>
 <br/>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 We are looking for a highly motivated Senior Data Scientist to take active role in development of industrial AI systems for prediction and data analytics (using operational data) performances. You will propose robust solutions which are in turn employed in predictive/preventive maintenance AI architecture to optimize glass and steel manufacturing processes.
 <br/>
 <br/>
 This is a hybrid position with 3 office days per week at our office in Hacettepe Teknokent.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree from a reputable university in Mathematics, Engineering, Statistics, Physics, or a related field
  </li>
  <li>
   MS/PHD Degree in machine learning is preferred
  </li>
  <li>
   At least 5 years of experience on AI
  </li>
  <li>
   At least 5 years of experience building predictive models, preferably in a business or industrial setting
  </li>
  <li>
   Experience in MATLAB (or R) and python
  </li>
  <li>
   Solid understanding of object-oriented programming
  </li>
  <li>
   Good command of the English language, both written and verbal
  </li>
  <li>
   Natural and strong curiosity with strong analytical and problem-solving skills
  </li>
  <li>
   Excited and motivated by technical challenges
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Establishing best practices for data collection and analysis
  </li>
  <li>
   Evaluating data quality to develop procedures that will ensure high quality of data
  </li>
  <li>
   Working closely with technical leaders to understand business side of data (industrial AI)
  </li>
  <li>
   Developing scalable data processing pipelines
  </li>
  <li>
   Developing data analytics tools to extract insights on manufacturing processes
  </li>
  <li>
   Building machine learning models for prediction and data insights
  </li>
  <li>
   Developing predictive/preventive maintenance AI algorithms to enhance manufacturing process
  </li>
  <li>
   Collaborating with other engineers and scientists to find effective solutions to technical challenges
  </li>
  <li>
   Helping the team develop predictive/preventive maintenance AI algorithms to optimize manufacturing processes
  </li>
  <li>
   Leading the team members to excel in their roles with a sense of contribution
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 At PaneraTech, we recognize that our employees are the driving force behind our success. We are committed to creating a positive and supportive work environment.
 <br/>
 <br/>
 <strong>
  We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive monthly net salary
  </li>
  <li>
   Private health insurance
  </li>
  <li>
   18 days holiday per annum
  </li>
  <li>
   A transparent work environment
  </li>
  <li>
   An agile structure that values open communication and instant feedback
  </li>
  <li>
   Opportunities for personal and professional growth
  </li>
  <li>
   A global and diverse team dedicated to improving the company and every single colleague within
  </li>
 </ul>
</div>


Senior Data Scientist

TRB 360

<div>
 <p>
  <strong>
   Data Scientist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  &Idot;stanbul / Ankara
 </p>
 <p>
  <strong>
   Work Model:
  </strong>
  Hybrid
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are supporting one of our client companies in their search for a Data Scientist.
 </p>
 <p>
  The selected candidate will contribute to the development of the company&rsquo;s next-generation AI and quantitative analytics infrastructure. You will work with large-scale financial, operational, and alternative datasets to build, evaluate, and optimize predictive models that enhance forecasting, trading analytics, and risk management.
 </p>
 <p>
  This role focuses on transforming complex, multi-source data into predictive systems that strengthen the company&rsquo;s analytical and trading performance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Collect, preprocess, and structure large-scale financial, operational, and alternative datasets to support quantitative and AI modeling.
 </p>
 <p>
  &bull; Develop and test mathematical, statistical, and econometric models to identify patterns, anomalies, and predictive relationships in target markets.
 </p>
 <p>
  &bull; Conduct time-series analysis, feature engineering, and hypothesis testing to extract predictive insights.
 </p>
 <p>
  &bull; Support model training, validation, and versioning pipelines to ensure reproducibility and scalability.
 </p>
 <p>
  &bull; Collaborate with quantitative analysts and engineers to integrate data-driven models into production environments.
 </p>
 <p>
  &bull; Contribute to the continuous improvement of data quality, reliability, and performance metrics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Mathematics, Applied Mathematics, Statistics, Data Science, Computer Science, or a closely related discipline.
 </p>
 <p>
  &bull; Solid understanding of calculus, linear algebra, probability, statistics, optimization, numerical methods, and algorithmic reasoning.
 </p>
 <p>
  &bull; Minimum 2 years of experience in applied mathematical modeling or data analysis within scientific, engineering, or financial domains.
 </p>
 <p>
  &bull; Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib) for data manipulation and model development.
 </p>
 <p>
  &bull; Experience with time-series data, regression models, and statistical hypothesis testing.
 </p>
 <p>
  &bull; Ability to build and manage data workflows in big data and cloud environments (e.g., Spark, AWS, GCP).
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Experience with machine learning or deep learning for financial data applications.
 </p>
 <p>
  &bull; Experience with financial data APIs (Bloomberg, Refinitiv, yFinance, etc.).
 </p>
 <p>
  &bull; Relevant certifications such as CFA, FRM, or training in Quantitative Finance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Ability to communicate complex quantitative and financial concepts clearly to non-technical stakeholders.
 </p>
 <p>
  &bull; Strong collaboration and coordination capabilities across cross-functional teams.
 </p>
 <p>
  &bull; Proactive, solution-oriented, and adaptable in fast-changing market environments.
 </p>
</div>


Data Scientist (Istanbul- Ankara)

Udemy

<div>
 <strong>
  Join Udemy. Help
 </strong>
 <strong>
  define
 </strong>
 <strong>
  the future of learning.
  <br/>
  <br/>
 </strong>
 Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It&rsquo;s personalized, practical, and focused on real-world impact.
 <br/>
 <br/>
 Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they&rsquo;re picking up something new or leveling up to stay ahead.
 <br/>
 <br/>
 Over 80 million learners and 17,000 businesses already learn with Udemy. If you&rsquo;re excited by change, energized by learning, and ready to have a real impact, you&rsquo;ll feel right at home.
 <br/>
 <br/>
 <strong>
  Learn More About Us On Our Company Page.
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Where we work
   <br/>
   <br/>
  </strong>
 </strong>
 Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and T&uuml;rkiye.
 <em>
  This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays
 </em>
 .
 <br/>
 <br/>
 <strong>
  About Your Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Continuous Learning and Growth: Being able to follow up on all the progress in the AI and ML field, translating them into strategic capabilities for you and your teams is critical for this role. Truly understanding what these algorithms are capable of and making sure you set your team for success.
  </li>
  <li>
   Leadership: You design and build an environment that balances outcomes and innovation, while keeping a collaborative yet competitive team culture. You lead with humility and clarity. You build an environment where individuals feel supported, heard, and proud of what they build together. You understand how to motivate and empower your team to do their best work.
  </li>
  <li>
   Data Driven: You rely on data driven processes to make sure what the team is building is delivering the intended value. Fueled by an iterative process of A/B experiments and learning, you provide a clear process that balances big bets and iterative improvements leading to measurable outcomes.
  </li>
  <li>
   Decision Making: You are able to gather and communicate effectively all data, cross functional partner inputs, company direction to facilitate effective brainstorming sessions, help the team to set direction and progress confidently.
  </li>
  <li>
   Effective Communication: You explain the complex domain of ML/AI Algorithms with intuitive and focused simplicity, while clearly communicating limitations and opportunities effectively.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About This Role
  <br/>
  <br/>
 </strong>
 As a Data Scientist manager in the Catalog Search team, you will be responsible for managing a team of data scientists building AI/ML driven algorithms for the discovery of learning experiences with a primary focus on search. You will drive the strategy for the team to explore new strategies to use LLMs, semantic embedding models as well as learning engagement analysis of users (behavioral data) and incorporate these to turn to highly personalized learning opportunities for learners.
 <br/>
 <br/>
 <strong>
  <strong>
   What you&rsquo;ll be doing
  </strong>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with product managers, data scientists, engineers and other stakeholders to build data products and set direction as well as drive the execution.
  </li>
  <li>
   Build and maintain a high performance team, by recruiting, hiring and planning career development of a team of data scientists/ML engineers
  </li>
  <li>
   Provide hands-on technical guidance and career mentorship for team members
  </li>
  <li>
   Maintain high-quality standards, effective communication processes, and best practices in engineering and data science
  </li>
  <li>
   Research or prototype solutions and contribute to the codebase as needed
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What you&rsquo;ll have
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   8+ years of experience as a software engineer, researcher or data scientist
  </li>
  <li>
   3+ years of management experience of teams building data driven solutions.
  </li>
  <li>
   Appetite and relevant background for learning state-of-the-art AI based search solutions
  </li>
  <li>
   Strong communication skills both written and verbal
  </li>
  <li>
   Strong coding skills with SQL and 1+ programming language (e.g. Java, Python)
  </li>
  <li>
   Familiarity with agile practices (e.g., Scrum)
  </li>
  <li>
   Ability to communicate effectively with non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred But Not Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands on experience with Enterprise search systems (e.g. Elasticsearch, Solr).
  </li>
  <li>
   Experience with big data ecosystems such as Spark, Hadoop and Hive.
  </li>
  <li>
   Hands-on experience with training and fine-tuning semantic embeddings and/or LLMs.
   <br/>
   <br/>
  </li>
 </ul>
 application deadline 18 November 2025
 <br/>
 <br/>
 <strong>
  Why work here?
  <br/>
  <br/>
 </strong>
 <strong>
  You&rsquo;ll grow here.
  <br/>
  <br/>
 </strong>
 Learning is part of the job. You&rsquo;ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.
 <br/>
 <br/>
 <strong>
  AI is real here.
  <br/>
  <br/>
 </strong>
 We use it in the way we learn and the way we work. You&rsquo;ll have the space and tools to experiment, apply, and get better at using AI in practical ways.
 <br/>
 <br/>
 <strong>
  You&rsquo;ll own your work.
  <br/>
  <br/>
 </strong>
 We trust people to lead, make decisions, and follow through. You don&rsquo;t need to wait for permission or layers of approval to have an impact.
 <br/>
 <br/>
 <strong>
  You&rsquo;ll Build With Others.
  <br/>
  <br/>
 </strong>
 We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.
 <br/>
 <br/>
 <strong>
  You&rsquo;ll see your impact.
  <br/>
  <br/>
 </strong>
 What you build helps people grow their skills, change their careers, or find a path forward. You&rsquo;ve got the experience, why not use it to help others gain theirs?
 <br/>
 <br/>
 <em>
  Bring your curiosity. We&rsquo;ll bring the platform and the support. Let&rsquo;s
  <strong>
   LEARN
  </strong>
  together.
  <br/>
  <br/>
 </em>
 <strong>
  Our Benefits Start With U
  <br/>
  <br/>
 </strong>
 Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits &amp; US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.
 <br/>
 <br/>
 <em>
  Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.
  <br/>
  <br/>
 </em>
 <em>
  At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   Information regarding data privacy is available within the Udemy Careers Privacy Notice.
  </strong>
 </em>
</div>


Senior Data Science Manager

Canonical

<div>
 As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.
 <br/>
 <br/>
 Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent, regardless of location, culture or background.
 <br/>
 <br/>
 As a Talent Scientist, you will work closely with these Hiring Leads to drive initiatives, automation and best practice whilst offering an expert viewpoint on talent assessments. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool.
 <br/>
 <br/>
 We have a number of mid-senior level openings in our team seeking the following:
 <br/>
 <br/>
 <ul>
  <li>
   Passion and drive to embed scientific approaches that deliver impact on how an organisation selects talent.
  </li>
  <li>
   Strong behavioural interviewing techniques (competency based and psychometric assessments).
  </li>
  <li>
   Excellent analytical problem solving ability to identify trends and patterns using SQL, statistical analysis or Python, BI tooling, etc.
  </li>
  <li>
   An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject.
  </li>
  <li>
   A high level of personal organisation to work remotely and be effective.
   <br/>
   <br/>
  </li>
 </ul>
 Location: This is a remote position based in the EMEA region
 <br/>
 <br/>
 What your day will look like
 <br/>
 <br/>
 As a Talent Scientist you will:
 <br/>
 <br/>
 <ul>
  <li>
   Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
  </li>
  <li>
   Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
  </li>
  <li>
   Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.
  </li>
  <li>
   Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
  </li>
  <li>
   Consider our employer brand and how our interactions with a candidate impacts their experience.
  </li>
  <li>
   Review and streamline hiring processes and tools to drive continuous improvement.
  </li>
  <li>
   Work with external third parties and platforms to ensure we maximise our return on investment.
  </li>
  <li>
   Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.
   <br/>
   <br/>
  </li>
 </ul>
 What we are looking for in you
 <br/>
 <br/>
 <ul>
  <li>
   An exceptional academic background from high school and university, with a Bachelors or Masters degree in a Psychology based subject.
  </li>
  <li>
   Experience of hiring talent in the technology or consulting industry.
  </li>
  <li>
   A highly data drive mindset with the ability to create measurable outcomes.
  </li>
  <li>
   Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
  </li>
  <li>
   Strong analytical problem solving ability to identify trends and patterns using SQL, with Python and/or advanced statistical analysis preferable.
  </li>
  <li>
   Exposure/appreciation of psychometric assessments, including interpretation.
  </li>
  <li>
   Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
  </li>
  <li>
   A high level of personal organisation and self drive to work remotely and be effective.
  </li>
  <li>
   Willingness to travel to company events 2-4 times a year, for up to two weeks each.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Other Skills You May Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders.
  </li>
  <li>
   Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
  </li>
  <li>
   Exposure to the following tools: LinkedIn Talent Insights, Greenhouse, DISC profiling, Superset.
  </li>
  <li>
   Psychometric validity and reliability metrics.
   <br/>
   <br/>
  </li>
 </ul>
 What we offer you
 <br/>
 <br/>
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 <br/>
 <br/>
 <ul>
  <li>
   Distributed work environment with twice-yearly team sprints in person
  </li>
  <li>
   Personal learning and development budget of USD 2,000 per year
  </li>
  <li>
   Annual compensation review
  </li>
  <li>
   Recognition rewards
  </li>
  <li>
   Annual holiday leave
  </li>
  <li>
   Maternity and paternity leave
  </li>
  <li>
   Employee Assistance Programme
  </li>
  <li>
   Opportunity to travel to new locations to meet colleagues
  </li>
  <li>
   Priority Pass, and travel upgrades for long haul company events
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Canonical
  <br/>
  <br/>
 </strong>
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 <br/>
 <br/>
 Canonical is an equal opportunity employer
 <br/>
 <br/>
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 <br/>
 <br/>
</div>


Talent Scientist

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 <br/>
 <br/>
 The company is founder led, profitable and growing.
 <br/>
 <br/>
 As a pioneer global remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to hire high performing talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires connecting performance outcomes to hiring.
 <br/>
 <br/>
 Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the section of world class talent.
 <br/>
 <br/>
 Our team works closely with the business to oversee the hiring process and encourage best practice whilst offering an expert viewpoint on talent assessments. We are not recruiters; it's about the science of talent and performance, raising awareness and offering deep analytical insights across the business to enable them to select the best talent available from our global talent pool.
 <br/>
 <br/>
 We have a brand new opportunity for a Talent Scientist in the team who will lead on teaching our senior executives how to source senior talent. Your key skills will be:
 <br/>
 <br/>
 <ul>
  <li>
   Experience of identifying and approaching senior leadership talent from either a professional search firm or from an in-house search function, working within the Technology industry.
  </li>
  <li>
   Excellent knowledge tools used to identify future talent including market mapping.
  </li>
  <li>
   Strong analytical problem solving ability to identify trends and patterns from data, with SQL or Python.
   <br/>
   <br/>
  </li>
 </ul>
 Location: EMEA - Home based
 <br/>
 <br/>
 The role entails
 <br/>
 <br/>
 <ul>
  <li>
   Developing a search strategy for our business, ensuring processes enable headhunted talent to move smoothly through the pipeline.
  </li>
  <li>
   Coaching our senior leadership teams to drive hiring outcomes, enabling them to become expert at approaching and attracting exceptional talent for their management and leadership positions.
  </li>
  <li>
   Driving talent analytics to provide our business with real-time insight, using SQL or Python to identify trends in data.
  </li>
  <li>
   Conducting in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
  </li>
  <li>
   Building key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes
  </li>
  <li>
   Seeking continuous improvement on hiring processes and outcomes.
  </li>
  <li>
   Bringing a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.
   <br/>
   <br/>
  </li>
 </ul>
 What we are looking for in you
 <br/>
 <br/>
 <ul>
  <li>
   Professional experience of headhunting from a reputable executive search firm or in-house search function, with an informed opinion of strategies and experience of successfully sourcing senior talent in the Technology industry.
  </li>
  <li>
   Exposure or appreciation of psychometric assessments.
  </li>
  <li>
   Strong analytical problem solving ability to identify trends and patterns from data using SQL or Python, with proficiency in LinkedIn talent modules..
  </li>
  <li>
   Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
  </li>
  <li>
   An exceptional academic background including a Bachelors or Masters degree in a Psychology or people based subject and a good level of Maths from High School.
  </li>
  <li>
   A high level of personal organisation to work remotely and be effective.
  </li>
  <li>
   Willingness to travel to company events 2-4 times a year, for up to two weeks each.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Other Skills You May Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience of more advanced analytical and statistical analysis to interrogate data.
  </li>
  <li>
   Exposure to the following tools: Greenhouse ATS, Thomas International and DISC profiling.
  </li>
  <li>
   Psychometric validity and reliability metrics.
   <br/>
   <br/>
  </li>
 </ul>
 What we offer colleagues
 <br/>
 <br/>
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 <br/>
 <br/>
 <ul>
  <li>
   Distributed work environment with twice-yearly team sprints in person
  </li>
  <li>
   Personal learning and development budget of USD 2,000 per year
  </li>
  <li>
   Annual compensation review
  </li>
  <li>
   Recognition rewards
  </li>
  <li>
   Annual holiday leave
  </li>
  <li>
   Maternity and paternity leave
  </li>
  <li>
   Employee Assistance Programme
  </li>
  <li>
   Opportunity to travel to new locations to meet colleagues
  </li>
  <li>
   Priority Pass, and travel upgrades for long haul company events
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Canonical
  <br/>
  <br/>
 </strong>
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 <br/>
 <br/>
 Canonical is an equal opportunity employer
 <br/>
 <br/>
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 <br/>
 <br/>
</div>


Executive Search Lead - Technology

ICON plc

<div>Senior Clinical Research Associate<div></div><div>
ICON plc is a world-leading healthcare intelligence and clinical research organization. We&rsquo;re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development</div><div></div><div>
We are currently seeking a Senior Clinical Research Associate (CRA) to join our diverse and dynamic team. As a Senior CRA at ICON Plc, you will play a critical role in overseeing and managing clinical trial activities to ensure they are conducted according to protocol, regulatory requirements, and industry standards. You will contribute to the success of clinical trials by ensuring data integrity, participant safety, and compliance throughout the study lifecycle.</div><div></div><div>
What You Will Be Doing:</div><ul><li>
Monitoring clinical trial sites to ensure adherence to study protocols, regulatory requirements, and Good Clinical Practice (GCP) standards.</li><li>
Conducting site visits to assess site performance, resolve issues, and provide support to ensure successful trial execution.</li><li>
Collaborating with cross-functional teams to ensure timely and accurate data collection and reporting.</li><li>
Providing training and guidance to site staff and other CRAs to maintain high standards of clinical trial conduct.</li><li>
Building and maintaining effective relationships with site personnel and stakeholders to facilitate smooth trial operations.</li></ul><div>
Your Profile:</div><ul><li>
Advanced degree in a relevant field such as life sciences, nursing, or medicine.</li><li>
Extensive experience as a Clinical Research Associate, with a strong understanding of clinical trial processes and regulatory requirements.</li><li>
Proven ability to manage multiple sites and projects simultaneously, with strong organizational and problem-solving skills.</li><li>
Expertise in monitoring practices, data integrity, and site management, with proficiency in relevant clinical trial software and tools.</li><li>
Excellent communication, interpersonal, and stakeholder management skills, with the ability to influence and drive compliance within a complex environment.</li><li><div>
Ability to travel at least 60% of the time (international and domestic - fly and drive) and should possess a valid driver&rsquo;s license</div></li></ul><div></div><div>
What ICON can offer you:</div><div></div><div><div><div><div><div>
Our success depends on the quality of our people. That&rsquo;s why we&rsquo;ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.</div><div></div><div>
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.</div><div></div><div>
Our benefits examples include:</div><ul><li><div>
Various annual leave entitlements</div></li><li><div>
A range of health insurance offerings to suit you and your family&rsquo;s needs.</div></li><li><div>
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.</div></li><li><div>
Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family&rsquo;s well-being.</div></li><li><div>
Life assurance</div></li><li><div>
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others.</div></li></ul></div></div></div></div><div></div><div>
Visit our <div>careers site</div> to read more about the benefits ICON offers.</div><div></div><div>
At ICON, inclusion &amp; belonging are fundamental to our culture and values. We&rsquo;re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</div><div></div><div><div><div><div><div>
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know</div><div></div><div><div>
Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless &ndash; there&rsquo;s every chance you&rsquo;re exactly what we&rsquo;re looking for here at ICON whether it is for this or other roles.</div></div></div></div></div></div></div><div></div>

Senior CRA

Agoda

<div>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 <br/>
 <br/>
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 <br/>
 <br/>
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 <br/>
 <br/>
 <strong>
  THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)
  <br/>
  <br/>
  Location: Bangkok, Thailand (*Not open for remote work)
  <br/>
  <br/>
 </strong>
 <strong>
  Get to Know our Team:
  <br/>
  <br/>
 </strong>
 As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met.
 <br/>
 <br/>
 We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda&rsquo;s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business.
 <br/>
 <br/>
 <strong>
  The Opportunity:
  <br/>
  <br/>
 </strong>
 As a BI Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
 <br/>
 <br/>
 <strong>
  In this Role, you&rsquo;ll get to
 </strong>
 :
 <br/>
 <br/>
 <ul>
  <li>
   Translate internal briefs into analytical projects (to include refining the initial brief and asking the &lsquo;right questions&rsquo;, working through potential hypotheses and storyboarding the output)
  </li>
  <li>
   Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
  </li>
  <li>
   Proactively identify opportunities for growth within supply and the wider business.
  </li>
  <li>
   Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
  </li>
  <li>
   Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
  </li>
  <li>
   Automate manual operational processes and present back on time savings gained through modernization of business operations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What you&rsquo;ll Need to Succeed
 </strong>
 :
 <br/>
 <br/>
 <ul>
  <li>
   At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
  </li>
  <li>
   Advanced working knowledge and hands-on experience in SQL
  </li>
  <li>
   Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
  </li>
  <li>
   Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
  </li>
  <li>
   Bachelor&rsquo;s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
  </li>
  <li>
   A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
  </li>
  <li>
   Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
  </li>
  <li>
   Experience in conducting A/B testing experimentation
  </li>
  <li>
   Strong experience in finding data insights and provide business recommendation to the business
  </li>
  <li>
   A hacker&rsquo;s mindset &ndash; the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
  </li>
  <li>
   Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
  </li>
  <li>
   Data driven in both decision making and performance measurement.
  </li>
  <li>
   Extreme comfort in ambiguous, fast-paced environment.
  </li>
  <li>
   Ability to multi-task, prioritize and coordinate resources.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  It&rsquo;s Great if you Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
  </li>
  <li>
   Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
  </li>
  <li>
   Asian market experience.
  </li>
  <li>
   Travel industry / e-commerce / tech / consulting experience.
   <br/>
   <br/>
  </li>
 </ul>
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz  #baku #minsk #brussels #antwerp #ghent #charleroi  #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra  #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester  #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis
 <br/>
 <br/>
 <strong>
  Discover More About Working At Agoda
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Agoda Careers https://careersatagoda.com
  </li>
  <li>
   Facebook https://www.facebook.com/agodacareers/
  </li>
  <li>
   LinkedIn https://www.linkedin.com/company/agoda
  </li>
  <li>
   YouTube https://www.youtube.com/agodalife
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 <br/>
 <br/>
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 <br/>
 <br/>
 <strong>
  Disclaimer
  <br/>
  <br/>
 </strong>
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
</div>


BI Analyst (Supply Analytics, Bangkok-based, Relocation provided)

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