Data Scientist

Job Description:

1. Collaborate with cross-functional teams to understand business goals and design data-driven solutions tailored to company products.
2. Develop and implement machine learning models to solve complex business challenges and drive insights for product development and user engagement.
3. Conduct data analysis, data mining, and statistical analysis to uncover patterns, trends, and insights that inform strategic decisions.
4. Create and maintain clear, actionable, and visually compelling data reports and dashboards.
5. Continuously evaluate model performance and tune models to enhance accuracy and reliability over time.
6. Ensure the integrity and quality of data used for analysis, managing data collection processes, data cleaning, and preprocessing.
7. Communicate findings effectively to both technical and non-technical team members to guide product improvements and business strategy.
8. Stay up to date with industry trends and emerging techniques in data science, machine learning, and analytics to apply best practices within the company.

Minimum Requirements:

1. Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
2. Minimum of 2 years of experience as a Data Scientist or in a relevant analytical position.
3. Proficiency with statistical analysis and machine learning techniques, including supervised and unsupervised learning methods.
4. Strong experience in programming languages such as Python or R for data analysis, along with libraries like Pandas, NumPy, and Scikit-Learn.
5. Familiarity with data visualization / Business Intelligence tools such as Tableau, Power BI, or Matplotlib.
6. Experience with SQL for database querying, along with familiarity with big data frameworks (e.g., Spark or Hadoop).
7. Ability to design and deploy predictive models and machine learning algorithms for various business use cases, with experience in AI or AI tools (e.g., TensorFlow, Keras, or OpenAI models).
8. Strong adaptability to work across diverse product areas within the company and to translate data insights into actionable strategies.
9. Excellent communication and collaboration skills, with the ability to explain complex analytical concepts to non-technical stakeholders.
10. Relevant certifications in Data Science, Machine Learning, or specific tools (e.g., Google Data Engineer, AWS Certified Machine Learning) are a plus.
11. A strong portfolio showcasing relevant data science projects is an advantage.
12. Willing to be placed in Bandung, West Java.