Data Science Specialist

Unity Systems; Singapore; Hybrid; SGD 60,000 - 90,000; Full time

Job summary

Unity Systems is seeking an Advanced Data Science Associate for a high-impact analytics role in a hybrid work environment. This position involves developing statistical algorithms and using machine learning techniques to glean insights from complex data sets, collaborating with stakeholders for effective communication of findings and integrating emerging technologies.

Benefits

Access to skill development programs

Career advancement opportunities

Collaborative work culture

Qualifications

• Strong academic background in analytics and quantitative methods.
• Experience with big data concepts and emerging technologies.

Responsibilities

• Develop efficient statistical algorithms to solve high-dimensional problems.
• Communicate analytical findings effectively to stakeholders.
• Integrate new data sources into analytical platforms.

Skills

Statistical analysis

Machine learning

Data mining

Predictive modeling

Text mining

Programming in Java

Programming in Python

Programming in R

Hadoop ecosystem

AWS

Education

Masters degree in Computer Science

Masters degree in Statistics

Masters degree in a related field

Job description

Position: Advanced Data Science Associate

Job Type: 6 months contract to hire

Department: Insights & Analytics Advanced Data Science

Location: (Hybrid - 3 days per week in office at any of the following locations: Kharadi, Pune; Nagavara, Bengaluru; DLF World Tech Park, Gurugram)

Job Description:

Hiring an Advanced Data Science Associate to contribute to high-impact analytics projects involving large-scale data sets. The role focuses on designing advanced algorithms, applying machine learning techniques, and delivering data-driven insights to address complex business problems.

Key Responsibilities:

1. Develop efficient statistical algorithms to solve high-dimensional problems
2. Apply machine learning, hypothesis testing, and data mining techniques to uncover trends and insights
3. Collaborate with stakeholders to communicate analytical findings effectively
4. Assess and integrate new data sources and emerging technologies into analytical platforms

Required Qualifications:

1. Masters degree in Computer Science, Statistics, or a related field
2. Strong academic background in analytics and quantitative methods
3. Experience with big data concepts, predictive modeling, text mining, and recommender systems
4. Proficiency in programming languages such as Java, Python, or R
5. Familiarity with Hadoop ecosystem, AWS, or database systems
6. Excellent English communication skills

Additional Information:

• May require travel depending on project/client needs
• Hybrid work environment combining remote and on-site collaboration
• Access to skill development programs, career advancement opportunities, and a collaborative work culture