Sr. Data Scientist

Cloud Counselage Pvt Ltd; Mumbai; Hybrid; INR 1,400,000 - 2,400,000; Full time

Benefits offered by this job

Competitive salary

Professional development opportunities

Collaborative work environment

Job summary

A dynamic technology firm is seeking a highly skilled Senior Data Scientist to lead data science initiatives. This role involves solving complex problems using machine learning and statistical analysis, mentoring junior team members, and contributing to strategic decision-making. Candidates should have a Master's or Ph.D. and at least 3 years of experience in data science, demonstrating leadership and innovative problem-solving abilities. The position offers opportunities for growth and a collaborative work environment.

Qualifications

• Minimum of 3 years of experience in data science or related roles.
• Proven track record of leading complex data science projects.
• Expertise in machine learning algorithms and predictive analytics.

Responsibilities

• Lead development and implementation of data science projects.
• Collaborate with teams to define project objectives and criteria.
• Design end-to-end data science solutions.

Skills

Machine learning

Statistical analysis

Data mining

Python or R programming

Analytical thinking

Communication skills

Leadership

Education

Master's or Ph.D. in a related field

Job description

We are looking for an experienced and highly skilled Senior Data Scientist to lead our data science initiatives. As a Senior Data Scientist, you will leverage your expertise in machine learning, statistical analysis, and data mining to solve complex problems and drive innovation. This role offers the opportunity to lead projects, mentor junior team members, and contribute to strategic decision-making.

What's For The Candidate

• Competitive salary based on experience.
• Opportunities for professional development and career growth.
• A collaborative and dynamic work environment.

Responsibilities

• Lead the development and implementation of data science projects to address business challenges and opportunities.
• Collaborate with cross-functional teams to define project objectives, scope, and success criteria.
• Design and execute end-to-end data science solutions, including data collection, preprocessing, feature engineering, model building, and evaluation.
• Utilize advanced machine learning techniques and algorithms to extract insights and derive actionable recommendations.
• Mentor and coach junior data scientists, providing guidance on technical skills, best practices, and project execution.
• Stay abreast of emerging trends and technologies in data science, machine learning, and artificial intelligence.
• Contribute to the development of data science frameworks, methodologies, and tools to enhance productivity and scalability.
• Communicate findings and results to stakeholders through clear and compelling presentations, reports, and visualizations.
• Collaborate with data engineers and IT professionals to optimize data pipelines, infrastructure, and deployment processes.
• Lead research and experimentation to explore new data sources, techniques, and algorithms for continuous improvement.

Requirements

• Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• Minimum of 3 years of experience in data science, machine learning, or related roles.
• Proven track record of leading and delivering complex data science projects from conception to completion.
• Expertise in machine learning algorithms, statistical modeling, and predictive analytics.
• Proficiency in programming languages such as Python or R, as well as data manipulation and analysis libraries.
• Strong analytical and problem-solving skills, with the ability to think strategically and innovate creatively.
• Excellent communication and leadership skills, with the ability to effectively collaborate with stakeholders at all levels.
• Experience mentoring and coaching junior team members, fostering a culture of learning and growth.
• Demonstrated ability to thrive in a fast-paced, dynamic environment with changing priorities and tight deadlines.
• Strong commitment to quality, accuracy, and continuous improvement.

Job Location

Remote/Hybrid/In-Office