We believe in a world where growth thrives across borders and cultures. As an EOR, Atlas employs people to work for companies anywhere in the world. Before we came along, the only businesses offering a similar solution were essentially brokers. They’d outsource your HR and payroll services to third-party providers in different countries. Today, we’re the only 100% Direct EOR in the world, partnering with clients to get to market 82% faster, at a reduced cost, and with lower risk through local expertise in over 160 countries.
Atlas technology powers the idea that companies can employ whoever they want, wherever they are in the world. Through our cloud-based platform, we deliver the Human Resources infrastructure that underpins international growth, leaving companies free to focus on the strategy that makes it happen. We partner with our clients through their international life cycle from the first dip in the global pool until the moment it’s time to set up their own entities and run payroll. Atlas is here from point A to point Z.
The future of work is borderless, and so are we. So, it helps that our people are located around the globe — in the US, UK, India, China and beyond — and speak 90+ languages. Diversity and inclusion are at our core.
Atlas invests in Environment, Social and Governance initiatives through our impact program. Impact is central to our vision as a business and at the heart of our culture. Through impact we are addressing our environmental impact for society, for the planet and for our long-term success. Employee wellness, diversity and charitable activities are at the core of our social responsibility. Impact ensures Corporate Governance operates ethically and responsibly while preserving our customers and employees’ trust.
We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team.
Key Responsibilities
- Work on, shape and lead an uncharted domain/greenfield data science project.
- Identify business problems and find the right data/mathematical techniques to address them.
- Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes.
- Create high-quality data visualizations.
- Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman’s terms to be used to inform business decisions.
- Oversee the activities of the more junior data scientists.
About You
- You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications.
- You have 5+ years of experience as a data scientist with exposure to the HR domain a plus.
- You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers.
- You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques.
- You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions.
- You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies.
- You are an experienced storyteller and have tens/hundreds of stories about earlier projects.
- You have previous experience leading others, both inside and outside of the Data Science area.
What We Value
- You have excellent verbal and written communication skills.
- You are an out of the box thinker.
What We Offer
- The opportunity to work with a purpose — simplifying global expansion while supporting sustainable communities around the world
- A diverse and inclusive environment, with over 40 nationalities represented, 90+ languages spoken, and a workforce made up of 52% women
- Flexible PTO and birthdays off
- Generous Parental Leave Program
- Growth and development opportunities with access to Coursera – a leading learning and certification provider
- The opportunity to challenge yourself in a high-performing organization and leave each day knowing you have made an impact.
This position description may not describe all duties, responsibilities, and skills associated with this position. It is intended to portray the major aspects of the job. Other duties or skills may be required.
Atlas Technology Solutions, Inc. is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Atlas is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Atlas are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Atlas will not tolerate discrimination or harassment based on any of these characteristics. Atlas encourages applicants of all ages.
This role may be subject to a background check after an employment offer has been made and final employment will be subjective to a positive result, in addition, reference may be requested at the final stage of the process.
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