Job Description:
We are looking for a motivated and talented individual to join our team as a Junior Data Scientist.
As a Junior Data Scientist, you will work closely with our Data Science team to analyze complex
data sets, develop predictive models, and provide valuable insights to drive data-driven decision
making.
Role and Responsibilities
- Collaborate with data science team to design and implement statistical models, algorithms and
machine learning techniques to solve business problems. - Analyze large and complex data sets to identify patterns, trends, and correlations, and gain
actionable insights. - Clean, preprocess and validate data to ensure accuracy and reliability.
- Development and maintenance of statistical models and algorithms for analysis and forecasting.
- Present findings and recommendations clearly and concisely to stakeholders.
- Collaborating with cross-functional teams to understand business needs.
- Stay up to date with the latest developments in data science, machine learning and statistical
methods.
Required Skill
- Master’s or Bachelor’s degree in computer science, IT, Mathematics, or relevant fields or equivalent
work experience. - Strong knowledge of statistical analysis, predictive modeling, and machine learning techniques.
- Fluency in Python (knowledge of R is extra).
- Experience with data-related libraries in Python (e.g., Jupyter, Pandas, NumPy, Matplotlib,
Seaborn, etc.) - Proficiency in Query languages like SQL.
- Strong proficiency in data visualization tools such as Metabase, Oracle Analytics Server, Power BI,
or similar. - Excellent problem-solving abilities and attention to detail.
- Data collection and interpretation.
- Familiar with Big Data and its toolsets like Hadoop, Hive, and Spark
- Strong Communication skills and teamwork mindset.
- Self-educator, taking extra steps to learn new tools.
- At least 4 years of experience as a data analyst or a similar role.
Proficiency in English
Preferred Skills
- At least 2 years of experience as a data analyst or a similar role.
- Experience with financial data and organizations.
- Ability to work efficiently with data at large scales.
- Experience working with data APIs.