About Company:
InsightMind is a product tech company specializing in advanced marketing and product improvement solutions. Founded by passionate tech enthusiasts, our mission is to bridge the gap between data science and tangible business outcomes.
Our team is a vibrant mix of data scientists, strategists, and innovators, all working in unison to create solutions that respond to market trends and set them. By joining InsightMind, you become part of a community that values collaboration, continuous learning, and the transformative power of data-driven decisions.
About You
Are you a seasoned Data Scientist with 4-5 years of professional experience? Do you possess expertise in Semi-Supervised / Unsupervised machine learning, including linear regression, clustering, and classification? Are you adept at implementing and evaluating working models, with a keen eye for selecting the most suitable deep-learning model for specific tasks? If so, you could be the perfect fit for our team.
Key Qualifications:
- Data Science Experience: You have 4-5 years of hands-on experience in Data Science, demonstrating proficiency in a variety of machine learning techniques and methodologies.
- Machine Learning Expertise: Your expertise spans Semi-Supervised / Unsupervised machine learning, encompassing linear regression, clustering, and classification. You have a track record of implementing effective models and possess the ability to evaluate and select optimal deep-learning models based on task requirements, including assessing model performance metrics.
- Strong Math Background: You bring a strong foundation in mathematics, enabling you to tackle complex data science problems with precision and clarity.
- Language Skills: While a basic level of English proficiency is required, your ability to communicate effectively in technical contexts is essential for collaboration within our team.
Nice to Have:
- Sector Experience: Experience in the FinTech / Healthcare / Gambling sector would be advantageous, highlighting your ability to apply data science principles within specific domains.
- Educational Background: Holding a PhD in Mathematical Physics or Data Science would be considered a plus, reflecting your advanced academic qualifications and dedication to the field.
Your Profile:
You possess a deep understanding of data science principles and methodologies, coupled with a passion for solving complex problems using innovative approaches. You thrive in environments where collaboration and creativity drive results, and you're eager to contribute your expertise to projects that make a meaningful impact.
If you're ready to bring your wealth of experience and expertise to our team, we invite you to apply and join us in shaping the future of data science.