What are the responsibilities and job description for the Data Scientist position at REKRUITD?
No vendors please
We are looking for a talented Data Scientist to join our team and play a key role in transforming raw data into valuable insights. In this role, you will be responsible for gathering, processing, and analyzing large datasets, developing predictive models, and contributing to machine learning solutions that enhance audience targeting in the home services industry.
Key Responsibilities:
At our company, we believe in growing together—both as individuals and as a team. We value professionals who lead by example, mentor junior colleagues, and continuously seek to expand their knowledge. As a Data Scientist, you will:
- Collaborate with IT teams, management, and other data professionals to align data strategies with business goals.
- Extract, clean, and refine data from various sources to ensure accuracy and relevance.
- Conduct statistical analyses to uncover trends, correlations, and patterns within complex datasets.
- Develop data-driven insights to optimize business processes and decision-making.
- Create clear, concise reports and compelling data visualizations for key stakeholders.
- Identify opportunities to improve data collection methods and analytical processes.
Qualifications & Skills:
We’re seeking candidates with a Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field - or equivalent hands-on experience.
The ideal candidate will have experience in:
- Statistical modeling and data analysis
- Programming in R and/or SAS
- SQL databases and query languages
- Data mining and preprocessing techniques
- Data visualization and reporting tools
- Strong written and verbal communication skills
Bonus Skills (Nice to Have):
Database design and optimization
- Programming (XML, JavaScript, Python, or ETL frameworks)
- Machine learning and AI-driven solutions
- Big data technologies like Hadoop and MapReduce
- Data warehousing and business intelligence platforms
Join us and be part of a dynamic team dedicated to leveraging data for smarter business decisions!
