Data Scientist - Options

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency.   Your future role within QRT   This team is integral to the firm’s success. As such, your responsibilities will include:   * Sourcing, designing and onboarding new datasets according to trading desks’ priorities   * Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems   * Proactively solving data related problems in order to minimise time to production   * Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production   Your present skillset   * 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role is advantageous * Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering. * Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas and NumPy * Demonstratable interest in financial markets and the application of data in its analysis and understanding * Experience working with both traditional and alternative financial datasets * Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors * Ability to work in a high-performance, high-velocity environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Kayzen

Data Scientist (m/f/d) Europe, Remote _______________________________________________ Hello👋I am Puneet, Co-founder and CPO at Kayzen, and I am now looking for a Data Scientist to join our team 🙌 But wait, you have not heard of Kayzen before?😃 Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface. The Team You will work with a carefully selected, diverse and globally distributed Data Science team (like Heiko, Chen) on various machine-learning models that process terabytes of data, serving billions of ad requests and users around the globe in real-time. We are highly motivated and aligned in our quest to disrupt the multi-billion dollar ad-tech industry. We would like you to be part of our journey, as our Data Scientist (m/f/d). Responsibilities Our day-to-day work in Data Science and Machine Learning encompasses a wide range of activities, including: * Enhancing Models: Continuously improving existing models by incorporating new features, fine-tuning parameters, and utilizing additional data. * Algorithm Development: Collaborating with our Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms. * Data Exploration: Identifying and exploring new data sources while researching innovative ways to leverage both new and existing data effectively. * Solution Research: Investigating new Machine Learning solutions to optimize every step of our value chain. * A/B Testing: Regularly conducting and evaluating A/B tests to drive insights and refine our strategies. You’ll be a great fit if you resonate with the following principles of Data Science and Machine Learning: * Simplicity First: We prioritize finding the best solutions to challenges rather than forcing problems to fit predetermined solutions. * Impact-Driven: We leverage Machine Learning to enhance our product and drive performance for our clients, always focusing on tangible business outcomes. * Collaborative Spirit: Our teams consist of analysts, engineers, and data scientists, making strong communication skills essential for success. * Embrace Experimentation: We believe in the power of experimentation to innovate and refine our approach continually. Requirements * At least 3 years of relevant experience in developing data science products, from initial research through to production deployment.   * Strong coding skills with a focus on clean, reproducible, and well-tested code.   * Proficient in key tools and technologies including Python, Spark, Hadoop, Airflow, Docker, and SQL.   * Hands-on experience with algorithms for handling sparse and large datasets, including applications in prediction, clustering, and outlier detection.   * Familiarity with Gradient Boosting Trees (CatBoost, LightGBM) in production environments is a plus.   * Experience in building neural network-based products for tasks such as classification, regression, and multi-task learning is highly valuable.   * Bonus skills: Knowledge of reinforcement learning and large-scale optimization problems is a significant asset.   * Good understanding of dashboards and SQL for developing and enhancing monitoring tools.   * Previous experience in Ad-Tech is a must. What do we offer? * Directly working with Founders and an opportunity to drive direct impact * Exceptional career growth and learning opportunity * A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market * A fun, driven, and multinational team located across Germany, India, Argentina, Canada, Spain, the UK and many more countries. * A flexible work-from-home arrangement * Opportunity to relocate to our office in Berlin * A 500-dollar home-office setup budget * A 1000-dollar annual learning and development budget

Trustpilot

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! A core value proposition of Trustpilot is Trust. We work hard to ensure that our platform has genuine content from real people with real experiences. That means eliminating fake reviews and acting on signs of suspicious behavior to protect our platform from fraudulent activity. Our Trust Applied AI team’s mission is to use advanced modeling to safeguard the integrity of online reviews, and we have several cross-functional teams devoted to Trust where Applied AI is integral to achieving our goals.   We are looking for a Data Scientist to join our Trust team. You and your team will work to develop, deploy, and maintain innovative models at scale, alongside a cross-functional team of software developers, product managers, ML engineers, and designers. You will have the opportunity to collaborate widely across the business with our Technology and Product teams. You will also work closely with stakeholders in Legal and Platform Integrity. To succeed in this role, you should have proven experience in developing and deploying ML models, ideally using graph data. You need a strong technical foundation and hands-on experience in all stages of data preparation, exploration, and modeling. An adaptable mindset and understanding of the interface between Applied AI and engineering are essential as you will be working in cross-disciplinary teams. Experience with deploying solutions into production is expected, as you will be responsible for implementing end-to-end solutions—from data preprocessing to serving predictions.   What you will do: * Be hands-on in delivering the Applied AI / Data Science component of key strategic projects in Trust, from building and fine-tuning language models to sequence modeling, graph-based models, etc. * Develop, maintain, and deploy production-ready ML models, with tooling support from ML engineers * Engage with both technical and non-technical stakeholders and contribute to the Trust roadmap * Seize the chance to meaningfully influence our business through the latest advancements in Applied AI and keep Trustpilot on the edge of innovation when it comes to fake review detection * The opportunity to work with market-standard data engineering and deployment technologies including Google Agent Platform tools and Google BigQuery, and with leading Data Science tools and emerging technologies for model building and deployment * Opportunities to develop your career in a friendly, diverse, international team and workplace   Who you are: * Experience with analytical and quantitative problem-solving using advanced statistical techniques and machine learning methods. Particularly relevant experience: high-precision classification focus, graph neural networks, graph algorithms used within machine learning, fine tuning of large language models, working with large label sets with varying label quality, and adversarial machine learning. * Experience in building and deploying production-ready ML models at scale, and solid data engineering skills, ideally in GCP * Ability in Python and SQL for data manipulation, modeling, and scripting * Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses. Knowledge of behavioral data, detecting misbehavior and/or fraud at scale is a big plus * Knowledge of data pipelining and prior experience with cloud-based ML model deployments * Great communication skills - both with technical colleagues and with business stakeholders  * 2-3 years or more of technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy   What’s in it for you: * A range of flexible working options to dedicate time to what matters to you * Competitive compensation package + bonus * 25 days holiday per year, with an extra 5 days holiday allocated after your 1 year anniversary (prorated)  * Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community * Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist * Comprehensive health package, pension, and full access to Headspace, a popular mindfulness app to promote positive mental health * Paid parental leave * Central office with  a laid-back vibe and constant buzz of different languages being spoken everywhere you go It’s complete with a coffee bar, canteen, and table tennis and has a wide variety of refreshments available - you can opt-in for breakfast and lunch at an affordable price * Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials * Opportunity to join the Trustpilot Social Club for a small monthly fee and attend regular social and leisure activities like go-karting, cooking classes, and escape rooms  * Employee discounts to restaurants and shops  Still not sure? We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences along with how you will contribute to our working culture. Even if you don’t feel you meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 350 million reviews and 60 million monthly active users across the globe, with 149 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 1000 employees and we’re headquartered in Copenhagen, with operations in  Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.  We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.  Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team (talent.acquisition@trustpilot.com) quoting the role you wish to apply for.