Data Scientist
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Turn Data Into Impact Start Your Analytics Career With Purpose
Are you curious about how data can shape billion-dollar decisions Do you enjoy solving complex problems exploring patterns and developing innovative tools If youre ready to grow your skills in a collaborative and intellectually driven environment this is your opportunity to contribute to real-world change from day one.
Were seeking a junior-level Data Scientist whos excited to learn innovate and apply machine learning to real-world challenges in capital project analysis. Youll work on projects that impact industries like energy infrastructure pharma and consumer products all while collaborating with a team of data-minded professionals who value creativity rigor and a strong analytical mindset.
Responsibilities
- Develop and deploy machine learning models to support predictive analytics and data-driven decision-making.
- Research and test new algorithms to improve model performance and efficiency.
- Build tools and applications using large language models (LLMs) for internal use and client engagement.
- Prepare analyze and present insights using structured and unstructured data.
- Collaborate with cross-functional teams and contribute to new product development.
- Work with stakeholders (technical and non-technical) to translate complex data into actionable recommendations.
- Contribute to the enhancement of benchmarking and analytics tools across multiple sectors.
Qualifications
- Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics or a related field.
- 13 years of hands-on experience in data science or machine learning through academic research or industry projects.
- Proficiency in Python and/or R with working knowledge of SQL.
- Familiarity with machine learning libraries such as scikit-learn PyTorch or similar.
- Exposure to Large Language Models (LLMs) and experience implementing them in real-world workflows (e.g. RAG agentic tools).
- Basic understanding of MLOps principles and version control tools like Git.
- Experience using cloud platforms (AWS Azure) is a plus but not required.
- Strong communication skills able to explain technical ideas to non-technical stakeholders.
- A project portfolio GitHub profile or sample work that showcases your technical skills and creativity.
$75000 - $90000 a year
Build the Future One Dataset at a Time
If youre ready to kick-start your data science career in a role that blends technical depth real-world impact and professional growth we want to hear from you. Youll be part of a mission-driven team that values analytical thinking innovation and lifelong learning and youll help shape smarter decisions across major global industries.
Apply today with your resume cover letter portfolio (GitHub or similar) and salary expectations. Lets turn your passion for data into real-world value.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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