Careers at Phormulate
Explore our open positions and find out how you can contribute to our team. We value innovation, collaboration, and the desire to make a difference.
Data Entry Intern
As a Data Entry Intern at our company, you will play a crucial role in managing and maintaining our extensive databases with precision and accuracy. This entry-level position is designed for individuals eager to develop their skills in data management and analysis. You will be responsible for inputting new information into our databases, checking and updating existing records for accuracy, and collaborating with our team to support data analysis and reporting needs. Through this role, you will gain invaluable experience in data handling processes and tools, setting a strong foundation for a career in data management or analysis.
Qualifications:
- Exceptional attention to detail and a commitment to accuracy in all data entry tasks.
- Proficiency in MS Excel and Google Sheets, including formulas, charts, and data manipulation techniques.
- Strong organizational skills, with the ability to manage multiple tasks simultaneously and meet deadlines.
- Excellent typing speed and accuracy.
- Basic understanding of databases and data analysis tools is a plus.
- Eagerness to learn and adapt in a fast-paced environment.
Data Scientist
Our team is on the hunt for a Data Scientist with a passion for extracting meaningful insights from complex data sets. In this role, you will be instrumental in analyzing data to inform business decisions and strategy, developing predictive models to solve critical business challenges, and presenting findings to stakeholders. Your work will directly impact our product development, marketing strategies, and customer experience improvements. This position requires a blend of advanced analytical skills, a strong statistical foundation, and the ability to communicate complex concepts to non-technical team members.
Qualifications:
- Advanced degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience in data mining, analysis, and model development.
- Strong statistical background with a deep understanding of various statistical models, machine learning algorithms, and their real-world advantages/drawbacks.
- Expertise in programming languages such as Python or R, and familiarity with SQL.
- Experience with big data technologies like Postgres, Hadoop, Spark, or Kafka is a plus.
- Ability to visualize data and present complex ideas clearly and effectively to both technical and non-technical audiences.
- Critical thinking and problem-solving skills, with a proven track record of using data to drive business outcomes.
- Experience in deploying machine learning models into production environments is highly desirable.