Placements24 is recruiting on behalf of a cutting-edge AI research firm for motivated Junior Data Scientists to join its fully remote team. This opportunity is suited to early-career professionals with a strong quantitative foundation who are eager to apply data science methods to challenging, real-world problems. The position offers exposure to advanced analytics and machine learning projects, along with opportunities to learn from experienced specialists in a globally distributed environment.
About The Company
Placements24 connects candidates with career opportunities across a range of industries. For this role, Placements24 is representing an innovative AI research firm focused on using data and emerging technologies to address complex questions. The organization operates remotely and values thoughtful collaboration, continuous learning, and practical contributions.
Team members work across locations using digital tools to share knowledge, develop ideas, and advance projects. The company aims to create an inclusive environment where people can contribute meaningfully and grow their capabilities.
About The Role
As a Junior Data Scientist, you will help transform complex data into useful insights and analytical solutions. You will work with senior data scientists, engineers, and other collaborators on projects involving predictive analysis, pattern recognition, experimentation, and model development. The role combines hands-on programming with statistical reasoning, data preparation, and clear communication of results.
This is a fully remote position for someone who can organize their work independently while staying engaged with a distributed team. You will have the opportunity to develop practical experience across the data science lifecycle, from exploring and preparing datasets through evaluating models and supporting deployment. The role is appropriate for a curious, detail-oriented professional who enjoys solving problems and keeping pace with developments in artificial intelligence and data science.
Qualifications A master’s degree or PhD in Data Science, Statistics, Computer Science, Physics, Mathematics, or a closely related quantitative discipline is required. Candidates should understand statistical modeling, machine learning algorithms, and data mining techniques, and be proficient in Python or R for data analysis and model development. Experience with commonly used machine learning libraries, such as Scikit-learn, TensorFlow, or PyTorch, is expected.
Applicants should have working knowledge of SQL and relational databases. Familiarity with distributed data technologies, including Spark or Hadoop, is an advantage. Strong analytical thinking, problem-solving ability, and attention to detail are important.
You should also communicate clearly in writing and conversation, manage competing priorities, meet deadlines, and work effectively with limited day-to-day supervision. A demonstrated interest in data science and a commitment to ongoing learning will help you succeed.
Responsibilities
Develop and implement machine learning models for predictive analysis and pattern recognition. Clean, preprocess, and transform large or complex datasets from varied sources, and conduct exploratory data analysis to identify meaningful trends, relationships, and variables. Design experiments to test hypotheses, assess model performance, and support evidence-based decisions.
Create visualizations and explain analytical findings to technical and non-technical audiences. Collaborate with senior data scientists and engineers to support model deployment and integration into relevant systems. Contribute to data pipelines and analytical frameworks, and document code, methods, assumptions, and results accurately. Keep informed about relevant research and advances in AI and data science, and participate actively in virtual team meetings and knowledge-sharing sessions.
Benefits
This fully remote contract opportunity offers flexibility and the ability to work from your preferred location. The rate is competitive and commensurate with your skills and experience. You will work with a global team on intellectually challenging projects and have opportunities to expand your technical knowledge through online courses, conferences, and workshops.
Regular virtual events and collaborative practices help support connection and knowledge sharing. The role provides valuable experience across data science workflows and a pathway to continued professional growth.
Equal Opportunity The hiring organization values diversity and is committed to providing an inclusive environment. Applicants are considered based on their qualifications, skills, and potential to contribute. All candidates are encouraged to apply, regardless of background or location, where eligible for the position.