Remofirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist. We are on a mission to be the FIRST to truly revolutionize the industry and be a generational company.
Our platform offers a full-range people management tool, employee benefits like health insurance, and financial benefits, and enables clients to hire anyone from anywhere with one click. Remofirst manages employees and contractors for Fortune 500 companies (e.g., Microsoft, Mastercard) and the best startups worldwide (e.g., TransferGo).
We are a small but strong team of 100+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships. To help accelerate our growth and pace of delivery, we are looking for talented Senior Data Scientist to help spearhead the overall look and feel of our features and services.
We are seeking a highly skilled and experienced Senior Data Scientist to join our team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to drive insights and solve complex business problems. You will collaborate with cross-functional teams to develop and implement data-driven solutions that enhance decision-making and optimize business performance.
What you’ll need:
- Experience: At least 5-7 years of professional experience in data science or a related role.
- Technical Skills:
- Proficiency in programming languages such as Python or R.
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong SQL skills and experience with databases (e.g., MySQL, PostgreSQL, NoSQL).
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, or matplotlib).
- Mathematical Skills: In-depth knowledge of statistics, probability, and linear algebra.
- Problem-Solving: Strong analytical and problem-solving skills with the ability to translate business problems into data science solutions.
- Communication: Excellent verbal and written communication skills to explain technical concepts to diverse audiences.
- Collaboration: Proven ability to work effectively in a cross-functional team environment.
- Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud).
- Knowledge of MLOps practices for deploying and maintaining machine learning models in production.
- Prior experience leading data science projects or managing teams.