Senior Data Scientist, Innovation Lab - Remote

• About Our Client:

The organization operates as a global data and technology company serving multiple industries including financial services, healthcare, automotive, agribusiness, and insurance. It addresses key challenges such as redefining lending practices, fraud prevention, healthcare simplification, marketing optimization, and automotive market insights through the integration of data, analytics, and software. With a workforce of 22,500 across 32 countries and a presence on the London Stock Exchange, the organization invests in advanced technologies and talent to unlock the value of data at scale.

• About the Opportunity:

The Senior Data Scientist in the Innovation Lab is responsible for developing analytical solutions, prototyping new products, and evaluating data assets to generate actionable insights. This role directly supports the organization’s ability to extract value from diverse data sources and improve client relationships through advanced machine learning and deep learning applications. The position contributes to addressing complex data challenges and enhancing the impact of analytics on strategic decisions.

• Responsibilities:

• Develop advanced machine learning models to extract insights from structured and unstructured data

• Apply appropriate machine learning, deep learning, and data processing techniques

• Design efficient data structures and storage solutions for improved data manipulation

• Innovate using tools tailored for data processing and information retrieval

• Analyze large datasets to identify patterns and actionable insights

• Create and optimize algorithms to solve complex problems

• Validate model performance and assess return on investment and benefits

• Requirements:

• Master’s degree or higher in Machine Learning, Data Science, AI, Computer Science, or related field

• Minimum 2 years of experience in AI, data science, or predictive modeling

• Proficient in Python and other programming languages

• Experience with deep learning models (CNN, RNN, LSTM, attention models) and machine learning techniques (SVM, GLM, boosting, random forest)

• Familiarity with graph models or reinforcement learning

• Skilled in open-source tools such as PyTorch, Keras, TensorFlow, scikit-learn, and pandas

• Experience with large-scale data analysis using pySpark

• Knowledge of LLMs and Generative AI tools

• Experience with Hadoop and NoSQL technologies including Map Reduce, Hive, HBase, MongoDB, and Cassandra

• Proven ability to adapt and apply advanced algorithms for practical solutions

• Experience in online and mobile marketing analytics

• Experience with GPU programming

• Pay Range and Compensation Package:

• Salary range for this position is $153,075 to $275,535

• Compensation reflects work location, skills, experience, and education

• Eligible for a variable pay opportunity

• Benefits & Perks:

• Competitive compensation package and bonus plan

• Core benefits including medical, dental, vision, and matching 401K

• Flexible work environment with options for remote, hybrid, or in-office work

• Flexible time off including volunteer time, vacation, sick leave, and 12 paid holidays

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.