Sr. Data Scientist

Wenger & Watson; Ernakulam; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Wenger & Watson in India seeks an experienced data scientist to develop advanced models and scalable data pipelines that drive business growth.

You will collaborate with cross‑functional teams to identify project requirements, analyze complex data sets for insights, and maintain comprehensive technical documentation while keeping pace with evolving data science trends. This role also offers opportunities to influence decision making and work on cutting‑edge analytics.

Qualifications

• Strong proficiency in programming languages such as Python or R.
• Experience with big data tools and technologies like Hadoop or Spark.
• Knowledge of machine learning algorithms and deep learning techniques.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication and interpersonal skills.

Responsibilities

• Develop and implement advanced data models and algorithms to drive business growth.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Design and deploy scalable data pipelines and architectures.
• Conduct thorough analysis of complex data sets to extract insights and trends.
• Develop and maintain technical documentation for data systems and models.
• Stay up-to-date with industry trends and emerging technologies in data science.

Skills

Python

R

Hadoop

Spark

Machine learning

Deep learning

Problem solving

Teamwork

Communication

Tools

Hadoop

Spark

Job description

Roles and Responsibilities

• Develop and implement advanced data models and algorithms to drive business growth.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Design and deploy scalable data pipelines and architectures.
• Conduct thorough analysis of complex data sets to extract insights and trends.
• Develop and maintain technical documentation for data systems and models.
• Stay up-to-date with industry trends and emerging technologies in data science.

Job Requirements

• Strong proficiency in programming languages such as Python or R.
• Experience with big data tools and technologies like Hadoop or Spark.
• Knowledge of machine learning algorithms and deep learning techniques.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication and interpersonal skills.