Senior Data Scientist

Job Description

• Understanding requirements, gathering information about client’s data and diving into data to create insights, ultimately driving sound business decisions. • Writing code and implementing the proposed solutions. • Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. • Develop, implement and maintain advanced analytical and optimization techniques to solve business problems. • Establish key performance tracking metrics for deployed models and solutions and monitor ongoing solution performance. • Explore and implement semantic data capabilities through Natural Language Processing, text analysis, and machine learning techniques. • Conduct research on data model optimization and algorithms to improve effectiveness and accuracy. • Collaborate with other teams on the client side to find impactful solutions to business problems. • Develop efficient and scalable models. • Apply and/or develop statistical modeling techniques (such as deep neural networks and Bayesian models), optimization methods and other ML techniques

Qualifications

• Demonstrated expertise with a minimum of 5+ years of experience as data scientist or similar role. • Solid foundation utilizing machine learning algorithms to develop predictive analytics solutions. • Experience working with Cloud Data Science offerings (e.g., AWS Sagemaker, Azure OpenAI, Azure Cognitive services, etc.). • Strong Python skills with hands-on experience on libraries like Pandas, NumPy, Matplotlib, Tensorflow, Pytorch etc. • Strong expertise in building and optimizing data pipelines and infrastructure using cloud-based data warehouse platforms. • Self-start with the ability to learn, adapt, improvise and problem solve with poise in a rapidly changing environment. • Strong team player and ability to work in a collaborative environment. • Growth mindset - ability to learn and take initiative to keep up with the latest technology. • Experience working with Generative-AI, LLMS, prompt engineering. • Experience working directly with stakeholders with analytical mindset and strong problem-solving skills. • Excellent verbal and written communication skills.

Benefits

• flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach. • be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. • big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best. • professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries. • equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally. Join us and be a part of a global tech community!