Senior Data Scientist

We are seeking a highly skilled Senior Data Scientist to join our dynamic team. In this role, you will collaborate closely with product design and engineering teams, contributing your expertise to develop a deep understanding of business needs. As a Senior Data Scientist, you will play a crucial role in researching and advising innovative statistical models for data analysis, enabling smarter business processes, and implementing analytics to derive actionable insights. Additionally, staying current with technology and industry developments is a key aspect of this role.

Responsibilities

Collaboration and Understanding: 
- Collaborate with product design and engineering teams to develop a comprehensive understanding of business needs.

Statistical Modeling and Analysis:

- Research and recommend innovative statistical models for effective data analysis.
- Utilize various statistical techniques and algorithms to extract knowledge and insights from both structured and unstructured data. Communication and Insights:
- Communicate findings to business stakeholders in a clear and actionable manner.
- Translate model output into meaningful business insights.

Implementation and Process Enhancement:

- Implement analytics solutions to enhance business processes and decision-making.
- Stay current with technology trends and industry developments to ensure the application of the latest advancements in data science.

Technical Skills:

- Demonstrate a solid understanding of foundational statistical concepts and machine learning algorithms, including linear/logistic regression, random forest, boosting, GBM, NNs, etc.
- Fluency in at least one of the following languages: Python, Java, Scala, R.
- Experience in building data science solutions for real business problems, such as recommendation systems, customer journey analysis, and customer experience enhancement.

Data Management and Analysis:

- Ability to access, manage, transfer, integrate, and analyze complex datasets, especially using SQL and No-SQL.?
- Experience with tools like sci-kit-learn and pandas (or equivalent tools).

Qualifications

• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 6 - 10 years' of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, C,C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
  
  

Technical Abilities:

1. Statistical Modeling and Analysis:

- Research and recommend innovative statistical models for effective data analysis.
- Utilize various statistical techniques and algorithms, including linear/logistic regression, random forest, boosting, GBM, NNs, etc.

2. Programming Languages:

- Fluency in at least one of the following languages: Python, Java, Scala, R.

3. Data Science Solutions:

- Experience in building data science solutions for real business problems, such as recommendation systems, customer journey analysis, and customer experience enhancement.

4. Data Management and Analysis:

- Ability to access, manage, transfer, integrate, and analyze complex datasets, especially using SQL and No-SQL.
- Experience with tools like sci-kit-learn and pandas (or equivalent tools).

5. Optional but Advantageous:

- Experience working with large datasets, especially with Hadoop and Spark.