Senior Data Scientist ( 4 months contractual role)

Creative Chaos; Karachi Division; On-site; PKR 1,800,000 - 3,400,000; Full time

Job summary

Creative Chaos is seeking a highly skilled Data Scientist to join our dynamic team in Karachi. You will analyze large datasets, uncover trends, build predictive models, and contribute to data-driven decision making across business units.

The ideal candidate has 5+ years of industry experience, strong Python or R skills, and a solid background in machine learning, statistics, and data mining. Experience with Hadoop, Spark, SQL, and deep learning frameworks is a plus.

Qualifications

• Bachelor/Master's in CS/Statistics/Mathematics or related field.
• Minimum of 5 years of industry experience as a data scientist.
• Strong knowledge in machine learning, statistical modeling, and data mining.
• Proficiency in Python or R for analysis and modeling.
• Experience with big data technologies such as Hadoop, Spark, or SQL.
• Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
• Strong problem-solving and critical-thinking skills.
• Excellent communication and presentation skills.
• Ability to work effectively in cross-functional teams.
• Strong attention to detail and ability to work on multiple projects.

Responsibilities

• Lead the development and execution of data science projects from problem framing to deployment.
• Collaborate with cross-functional teams to identify business opportunities and translate them into projects.
• Develop and implement ML algorithms and statistical models to solve business problems.
• Perform exploratory data analysis to uncover trends and patterns.
• Work with data engineers to build robust data pipelines.
• Evaluate and validate models using appropriate metrics and techniques.
• Present findings to stakeholders in a clear, concise manner.
• Stay up-to-date with advancements in data science and ML best practices.
• Mentor and guide junior data scientists in the team.

Skills

Python

R

Machine learning

Statistical modeling

Data mining

Education

Bachelors/Masters in Computer Science, Statistics, Mathematics, or related field

Tools

Hadoop

Spark

SQL

TensorFlow

PyTorch

Job description

Job Brief:

We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing large datasets to uncover trends and insights, building predictive models, and contributing to data-driven decision-making processes.

Duties and Responsibilities:

• Lead the development and execution of data science projects, including problem formulation, data collection, analysis, modeling, and deployment of machine learning models.
• Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
• Develop and implement machine learning algorithms and statistical models to solve complex business problems.
• Perform exploratory data analysis to gain insights and identify patterns in large and complex datasets.
• Work with data engineers to build robust and scalable data pipelines.
• Evaluate and validate models using appropriate performance metrics and statistical techniques.
• Present findings and insights to stakeholders in a clear and concise manner.
• Stay up-to-date with the latest advancements and best practices in data science and machine learning.
• Mentor and guide more junior data scientists in the team.

• Bachelors/ Master's in Computer Science, Statistics, Mathematics, or a related field.
• Minimum of 5 years of industry experience as a data scientist.
• Strong knowledge and experience in machine learning, statistical modeling, and data mining.
• Proficiency in Python or R for data analysis and modeling.
• Experience with big data technologies such as Hadoop, Spark, or SQL.
• Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
• Strong problem-solving and critical-thinking skills.
• Excellent communication and presentation skills.
• Ability to work effectively in cross-functional teams.
• Strong attention to detail and ability to work on multiple projects simultaneously.