Job Title: Data Scientist Job Description: Responsibilities:

1. Data Collection and Cleaning: o Collect data from various sources, including internal databases, web scraping, and third-party APIs. o Clean and preprocess the data to remove errors and ensure its quality.

2. Data Analysis and Modeling: o Analyze data using statistical and machine learning techniques. o Develop predictive models and machine-learning algorithms. o Conduct advanced data analysis and complex designs algorithm.

3. Visualization and Reporting: o Create visualizations to present data findings effectively. o Prepare reports and dashboards to help business stakeholders make informed decisions.

4. Collaboration and Communication: o Work closely with different teams (e.g., IT, Marketing, Operations) to identify opportunities for leveraging company data. o Present findings to stakeholders and provide recommendations based on data analysis.

5. Innovation and Strategy: o Stay updated with the latest technology trends and advancements in data science. o Explore new tools and techniques to improve existing data analytics processes. o Assist in setting data-related strategic directions for the business.

Skills and Qualifications:  Education: Bachelor’s or master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

 Technical Skills: o Proficiency in programming languages such as Python, R, or Scala. o Experience with SQL and database management systems. o Familiarity with data visualization tools like Tableau, PowerBI, or similar. o Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).  Analytical Skills: Strong mathematical and statistical analysis skills.  Communication Skills: Excellent verbal and written communication skills.  Problem-solving: Ability to approach complex challenges systematically and deliver data-driven insights. Experience:  Proven experience as a Data Scientist or Data Analyst.  Experience in data mining, analysis, and reporting. Work Environment:  Office setting, with opportunities for remote work depending on company policy.  Collaboration with cross-functional teams and stakeholders.  Dynamic and fast-paced environment.