NOW HIRING Data Scientist / Data Analyst
Full-Time | Entry to Mid-Level
Data Science • Analytics • Machine Learning • Business Insights
Analytical • Data-Driven • Innovation-Focused Environment
We are seeking a highly analytical and motivated Data Scientist / Data Analyst to transform raw data into actionable insights, build predictive models, and support data-driven decision-making across the organization.
This role is ideal for someone passionate about data, statistics, programming, and solving real-world problems using analytics and machine learning.
ROLE OVERVIEW
As a Data Scientist / Data Analyst, you will analyze large datasets, develop models, build dashboards, and generate insights that support strategic business decisions.
KEY RESPONSIBILITIES Data Analysis & Insights
- Collect, clean, and analyze structured and unstructured data
- Identify trends, patterns, and actionable insights
- Perform exploratory data analysis (EDA)
- Support business decision-making with data-driven findings
- Translate complex data into clear insights
Data Science & Modeling
- Build predictive and statistical models
- Support machine learning model development and evaluation
- Perform feature engineering and data preprocessing
- Test and validate model performance
- Improve model accuracy and efficiency
Reporting & Visualization
- Develop dashboards and data visualizations
- Present insights to technical and non-technical stakeholders
- Track KPIs and business performance metrics
- Prepare analytical reports and summaries
- Support automated reporting systems
Tools & Engineering Support
- Use Python or R for data analysis and modeling
- Work with SQL for data extraction and transformation
- Utilize tools like Pandas, NumPy, Scikit-learn, or TensorFlow
- Support data pipeline and workflow improvements
- Ensure data quality and consistency
Collaboration
- Work closely with business, engineering, and product teams
- Translate business problems into data solutions
- Support cross-functional projects and initiatives
- Participate in meetings and requirement discussions
- Contribute to data strategy and improvements
IDEAL PROFILE
- Strong analytical and problem-solving skills
- Passion for data, statistics, and machine learning
- Detail-oriented and curious mindset
- Good communication and teamwork abilities
- Ability to work with complex datasets
- Eagerness to learn and grow in data science
REQUIREMENTS
- Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
- Strong understanding of statistics and probability
- Proficiency in Python or R
- Knowledge of SQL and data manipulation
- Familiarity with machine learning concepts is a plus
- Experience with Power BI, Tableau, or similar tools is an advantage
- Understanding of data pipelines is beneficial
WHAT WE OFFER
- Hands-on experience in real data science and analytics projects
- Career growth into Senior Data Scientist / Analytics Lead roles
- Exposure to modern data tools and machine learning frameworks
- Supportive and collaborative environment
- Training and mentorship opportunities
- Opportunity to work on impactful data-driven solutions
APPLY NOW
Start your journey in data science and analytics, and help turn data into powerful insights and intelligent decisions.