Senior Data Scientist(AI/ML)

As a Data Scientist, you will be utilizing big data technologies and analytics techniques to process and analyze large volumes of data. Your main responsibility will be to derive insights and predictions that can enhance business decisions. This will involve organizing data, cleansing and normalizing raw data, processing data for statistical modeling, and identifying relationships and trends in the data. Additionally, you will need to demonstrate strong programming skills to develop, test, and deploy solutions that address various business problems. Moreover, a strong educational background in data analytics, statistical modeling, advanced machine learning, artificial intelligence, database technology, computer programming, and software engineering is essential for this role. Analytical thinking, attention to detail, and effective communication skills with non-technical stakeholders are also key requirements. You will typically work independently with guidance from senior team members.

**Key Responsibilities:**

• Ensure data quality and conduct data inspection
• Develop insightful dashboards and data reports
• Generate queries for data preprocessing, feature engineering, and data enrichment
• Design, test, and implement complex predictive machine learning algorithms
• Utilize advanced analytics, machine learning, and AI techniques to extract business value from internal and external data sets
• Develop robust code for training and deploying predictive models
• Create analytical solutions to address real business problems
• Provide data-driven recommendations to product teams
• Exhibit strong problem-solving skills with a focus on product development

**Qualifications:**

• 5+ years of experience as a data scientist
• Proficiency in applying data science and machine learning methods to derive value from data
• Hands-on experience with machine learning, artificial intelligence, applied statistics, and operations research techniques
• Good understanding of the data science process
• Ability to collaborate effectively in a team environment and work with agile development processes
• Skill in translating analysis into actionable insights for a non-technical audience
• Working knowledge of programming languages such as Python, R, Matlab, Julia, Scala
• Familiarity with pandas, scikit-learn, numpy, tensorflow, and other scientific libraries/modules for data science
• Proficient in SQL and experienced in querying databases
• Experience working with large datasets and optimizing queries

Please let me know if you need further details or have any specific questions related to the job description. As a Data Scientist, you will be utilizing big data technologies and analytics techniques to process and analyze large volumes of data. Your main responsibility will be to derive insights and predictions that can enhance business decisions. This will involve organizing data, cleansing and normalizing raw data, processing data for statistical modeling, and identifying relationships and trends in the data. Additionally, you will need to demonstrate strong programming skills to develop, test, and deploy solutions that address various business problems. Moreover, a strong educational background in data analytics, statistical modeling, advanced machine learning, artificial intelligence, database technology, computer programming, and software engineering is essential for this role. Analytical thinking, attention to detail, and effective communication skills with non-technical stakeholders are also key requirements. You will typically work independently with guidance from senior team members.

**Key Responsibilities:**

• Ensure data quality and conduct data inspection
• Develop insightful dashboards and data reports
• Generate queries for data preprocessing, feature engineering, and data enrichment
• Design, test, and implement complex predictive machine learning algorithms
• Utilize advanced analytics, machine learning, and AI techniques to extract business value from internal and external data sets
• Develop robust code for training and deploying predictive models
• Create analytical solutions to address real business problems
• Provide data-driven recommendations to product teams
• Exhibit strong problem-solving skills with a focus on product development

**Qualifications:**

• 5+ years of experience as a data scientist
• Proficiency in applying data science and machine learning methods to derive value from data
• Hands-on experience with machine learning, artificial intelligence, applied statistics, and operations research techniques
• Good understanding of the data science process
• Ability to collaborate effectively in a team environment and work with agile development processes
• Skill in translating analysis into actionable insights for a non-technical audience
• Working knowledge of programming languages such as Python, R, Matlab, Julia, Scala
• Familiarity with pandas, scikit-learn, numpy, tensorflow, and other scientific