DATA SCIENCE ASSOCIATE

PeopleStrong; Thiruvananthapuram; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

PeopleStrong in India seeks a Senior Data Science and Machine Learning Expert to drive strategic use of data and analytics. You will lead a team of data scientists, collaborate with cross-functional teams across cloud platforms, and develop innovative ML solutions that solve complex business problems.

You will guide data governance, model deployment, and integration into operational systems while staying current with industry trends and technologies.

Qualifications

• Advanced degree in CS, statistics, or mathematics.
• Proven experience in data science, ML, and statistical modeling.
• Strong programming in Python, R, or Java.
• Experience with TensorFlow, PyTorch and scikit-learn.
• Knowledge of data engineering and preprocessing techniques.
• Excellent problem-solving and leadership skills.

Responsibilities

• Provide strategic direction for the organization's data science and ML initiatives.
• Lead and mentor a team of data scientists and collaborate with cross-functional teams.
• Develop and deploy advanced ML models for predictive and prescriptive analytics.
• Collaborate with software engineers and domain experts to integrate models into operations.
• Ensure data governance and quality across data pipelines and models.

Skills

Advanced statistics

Data modeling

Python

R

Java

ML frameworks

Leadership

Communication

Cloud platforms

Education

Master's degree

PhD (optional)

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Worked 3 years+ in Data Science and Machine learning on any cloud platform (AWS, Oracle, Google, Azure) in any industry.

As a Senior Data Science and Machine Learning Expert, you will play a crucial role in driving the strategic use of data and advanced analytics to solve complex business problems. Leveraging your extensive experience in data science and machine learning, you will lead a team of data scientists and collaborate with cross-functional teams to develop innovative solutions that contribute to business success.

Responsibilities

• 1. **Leadership and Strategy:**
• - Provide strategic direction for the organization's data science and machine learning initiatives.
• - Collaborate with senior management to align data science goals with overall business objectives.
• - Mentor and lead a team of data scientists, fostering a culture of innovation and continuous improvement.
• 2. **Data Analysis and Modelling:**
• - Conduct in-depth analysis of large and complex datasets to extract valuable insights.
• - Develop and deploy advanced machine learning models for predictive and prescriptive analytics.
• - Utilize statistical methods to validate models and ensure their reliability and accuracy.
• 3. **Algorithm Development:**
• - Design and implement cutting-edge machine learning algorithms to address business challenges.
• - Stay current with industry trends and emerging technologies, incorporating them into the development process.
• - Collaborate with cross-functional teams, including software engineers, business analysts, and domain experts, to integrate machine learning models into operational systems.
• - Communicate complex technical concepts to non-technical stakeholders, fostering understanding and support for data-driven decision-making.
• 5. **Data Governance and Quality:**
• - Ensure the integrity and quality of data used in machine learning models.
• - Implement and enforce data governance best practices to maintain a high standard of data quality and security.
• - Stay abreast of advancements in data science and machine learning, incorporating new techniques and technologies into existing processes.
• - Drive the adoption of best practices and methodologies within the data science team.

Qualifications

• Advanced degree in a relevant field (e.g., Computer Science, Statistics, Mathematics).
• Proven experience in data science, machine learning, and statistical modeling.
• Strong programming skills in languages such as Python, R, or Java.
• Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
• Solid understanding of data engineering principles and data preprocessing techniques.
• Excellent problem-solving and critical-thinking skills.
• Strong leadership and communication skills.
• Work across cloud platforms, machine learning tools and generative AI tools.
• Ability to learn the Financial services business and interact with Business heads.

**Note:** The above job description is a general outline of the duties and responsibilities associated with the designated role. It is not exhaustive and additional duties may be assigned.

Working Location- Kochin, Trivandrum, Bangalore office