Data Scientist

We are looking for a skilled Data Scientist to develop and implement predictive models that drive business decision-making. The ideal candidate will have strong expertise in machine learning, data analysis, and statistical techniques, using tools such as Python, R and Jupyter Notebooks. This role involves collaborating with cross-functional teams to translate business challenges into data-driven solutions.

Requirements and Qualifications:
Must-Have Skills:
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
3+ years of experience in data science roles.
Strong experience in predictive modeling and machine learning.
Proficiency in Python and R for data analysis and model development.
Hands-on experience with Jupyter Notebooks for data exploration.
Solid knowledge of statistics, probability, and hypothesis testing.
Experience working with large datasets and data-wrangling techniques.
Ability to build data-driven visualizations and communicate insights effectively.

Nice-to-Have Skills:
Experience in HR analytics and workforce data modeling.
Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn.
Knowledge of SQL for data querying and manipulation.
Experience with big data tools like Spark, Hadoop, or AWS ML services.
Understanding of data visualization tools such as Tableau or Power BI.

Roles and Responsibilities:
Develop and implement predictive models to support business decision-making.
Build and deploy machine learning algorithms to solve complex problems.
Analyze large datasets using statistical and data science techniques.
Use Python, R, and Jupyter Notebooks for data analysis, modeling, and visualization.
Collaborate with cross-functional teams to translate business challenges into data-driven insights.
Continuously improve and optimize machine learning models for accuracy and efficiency.
Present findings to stakeholders in a clear and actionable manner.