Sr. Data Scientist

Wenger & Watson; Surat; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Wenger & Watson is seeking a data scientist to develop advanced data models and scalable data pipelines. You will collaborate with cross-functional teams to identify requirements and drive business growth.

The role requires proficiency in Python or R, experience with Hadoop or Spark, and knowledge of ML/DL. You will analyze complex data sets and document data systems while staying current with industry trends.

Qualifications

• Proficiency in Python or R for data modelling and analysis.
• Experience with Big Data tools like Hadoop or Spark.
• Knowledge of machine learning and deep learning methods.
• Strong problem-solving and attention to detail.
• Ability to collaborate effectively in a team.
• Strong communication and interpersonal skills.

Responsibilities

• Develop and implement advanced data models and algorithms to drive growth.
• Collaborate with cross-functional teams to identify and prioritize requirements.
• Design and deploy scalable data pipelines and architectures.
• Analyze complex data sets to extract insights and trends.
• Develop and maintain technical docs for data systems and models.
• Stay updated on industry trends and emerging data science tech.

Skills

Python/R

Big data

ML/DL

Problem solving

Team collaboration

Communication skills

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.