Role Overview
We are building an AI first company which will deliver innovative and impactful, sustainable Data and AI led solutions. We are open, transparent, no-nonsense, innovative problem solvers and eternal learners as a team where individual passion and brilliance is combined with a great team spirit to nurture everyone’s journey to whatever they want to achieve.
Junior Data Scientist at Xponent AI will be pivotal in supporting the analytics framework of an Xponent AI by assisting in the development, refinement, and implementation of data models that drive strategic decision-making. This position focuses on pre-processing large datasets, performing exploratory data analysis, and applying machine learning techniques to derive actionable insights.
Junior Data Scientist collaborates with cross-functional teams to understand business needs and contribute to projects that enhance operational efficiency, customer satisfaction, and overall business growth. This role serves as a foundational step in cultivating expertise in data science, fostering a deep understanding of analytical techniques and their real-world applications.
About Role
Key Responsibilities:
- Work under the guidance and mentorship of experienced data scientists and analysts.
- Utilize statistical and machine learning techniques to handle various types of data and analytics projects.
- Collaborate with different teams such as IT, marketing, and operations to understand their data needs.
- Use programming languages like Python or R to manipulate data and draw insights.
- Engage with cloud technologies and big data tools to process and analyze large datasets.
- Participate in workshops and training sessions to enhance your data science skills.
- Assist in the documentation of data science processes and findings.
- Work in a fast-paced environment that values innovation and teamwork.
- Have the opportunity to contribute to impactful projects that influence key business decisions.
- Receive feedback and perform data model improvements based on performance metrics.
About You
- Bachelor’s degree in Statistics, Computer Science, Data Science, or a related field.
- Familiarity with data science toolkits such as pandas, NumPy, Scikit-learn.
- Basic understanding of machine learning techniques and algorithms.
- Experience with data visualization tools like Matplotlib, Seaborn, or Tableau.
- Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy.
- Eagerness to learn from others and contribute to a team-oriented environment.
- Some experience in using query languages such as SQL.
- Good communication skills to effectively report your findings and ideas.
- A curious mindset that is driven by the desire to solve problems and build solutions.
- Interest in pursuing further education and certifications in data science.