Data Scientist

Data Scientist

Job Title

Data Scientist

Location

[Location / Remote / Hybrid]

Employment Type

Full-time

Job Summary

We are seeking a motivated Data Scientist to analyze complex datasets, build predictive models, and generate actionable insights that support business decisions. The ideal candidate has a strong foundation in statistics, machine learning, data analysis, and programming, with the ability to translate data into meaningful business outcomes.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple sources.

• Develop, train, evaluate, and deploy machine learning models.

• Perform exploratory data analysis (EDA) and identify trends, patterns, and anomalies.

• Build predictive and statistical models to solve business problems.

• Create dashboards, reports, and visualizations to communicate insights.

• Collaborate with data engineers, software developers, product managers, and business stakeholders.

• Optimize model performance and monitor production models.

• Conduct A/B testing and statistical analysis to measure business impact.

• Document methodologies, experiments, and model performance.

• Stay updated with advancements in AI, machine learning, and data science.

Required Skills

• Strong proficiency in Python or R for data analysis and machine learning.

• Experience with SQL and database querying.

• Knowledge of machine learning algorithms, statistical modeling, and predictive analytics.

• Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or XGBoost.

• Familiarity with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.

• Understanding of feature engineering, model evaluation, and model deployment.

• Knowledge of cloud platforms (AWS, Azure, or Google Cloud) is an advantage.

• Familiarity with Git and version control.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

• 2–5+ years of experience in data science, machine learning, or analytics (depending on the role level).

• Strong analytical, problem-solving, and critical-thinking skills.

• Excellent communication and presentation abilities.

Preferred Qualifications

• Experience with MLOps tools and model deployment pipelines.

• Knowledge of big data technologies such as Spark or Hadoop.

• Familiarity with NLP, computer vision, recommendation systems, or time-series forecasting.

• Experience working in Agile/Scrum environments.

• Contributions to open-source projects, research publications, or data science competitions are a plus.

Benefits

• Competitive salary

• Health insurance

• Flexible work arrangements

• Learning and development opportunities

• Performance-based incentives

• Paid time off