Highlights
Flexible work schedule, professional development opportunities, positive work environment.
Description
Job Summary
pAre you passionate about leveraging data to drive product innovation in the fast-changing consumer goods market? We are seeking a Data Scientist who can formulate hypotheses, develop ML models for NLP and image processing tasks, and communicate insights effectively. If you enjoy working with diverse data types and solving complex business problems, we want you on our team.
Responsibilities
- Formulating hypotheses and developing proof-of-concept ML models
- Translating industry-specific knowledge into proper models
- Monitoring and ensuring data quality
- Communicating insights effectively in both written and visual formats
Required Skills
- Data Analysis
- Machine Learning
- NLP Techniques
- Visualization Frameworks
- Python Programming
Required Skills Explained
- Background in Mathematics/Physics/Natural Sciences or Engineering fields, relevant working experience of 2+ years.
- Advanced knowledge of Python, including understanding of merge-request git flow and basic scripting such as CI/CD, regular expressions, shell commands, and basic webapp development skills.
- Good coding habits like proper documentation, linting, styling, reproducibility, code review best practices, and test-driven development.
- Skills to maintain ML models: measure performance, add/remove classes, create effective labelling batches, retrain with assessment of the impact.
- Ability to suggest model improvements, propose working solutions for business problems, ensure the model works with existing models, track model experiments and keep model documentation updated.
- Skills to clearly communicate problem status, actions taken, conclusions, improvements, and limitations.
- Understanding of which visualizations to use with different data types, comfortable with at least one visualization framework, and capable of creating shareable/dynamic reports/apps.
- Proficiency in applying EDA principles, classical supervised/unsupervised learning techniques, main NLP techniques, a good understanding of deep-learning techniques, and awareness of model and computational complexity.
Who is this for
pThis role is perfect for a candidate with a strong background in mathematics or engineering, who thrives in a collaborative environment and enjoys working on diverse datasets. A passion for machine learning and a knack for translating technical insights into actionable business strategies are highly valued.
Why This Job is a Good Opportunity
ulliOpportunity to work with cutting-edge technology and data from diverse sources like retail channels and standardized databases.liA chance to develop innovative ML models that have real-world impact on consumer goods products.liCollaboration within a professional, consultative environment where growth is encouraged through various career development opportunities.liFlexible work schedule with remote work options and flexible hours to achieve a healthy work-life balance.liA positive workplace culture that values teamwork, diversity, and inclusivity.liThe chance to contribute positively to the community through volunteer programs and corporate social responsibility initiatives.
Interview Preparation Tips
- Review key responsibilities and align your past experiences with these tasks.
- Precisely demonstrate advanced Python skills and knowledge of ML models, such as NLP and image processing.
- Show examples of how you have improved existing ML models or suggested new ways to analyze data in previous roles.
- Prepare case studies that showcase your ability to translate industry-specific knowledge into effective models and maintain them over time.
- Highlight communication skills by preparing examples of how you effectively communicate insights, improvements, and limitations.
- PRACTICE explaining technical concepts clearly to non-technical stakeholders or in a way that is easily understandable for all audiences.
Career Growth in This Role
pThe role provides numerous opportunities for professional development as it requires advanced knowledge of data science techniques. You can grow your career by taking on more complex projects, developing new skills like deep learning, and leading initiatives to enhance product offerings based on data insights. The company values innovation and encourages employees to suggest improvements that could benefit the business.pWith experience in this role, you may also transition into leadership positions or specialized technical roles focused on specific areas of ML development, such as NLP or image processing. Additionally, your ability to communicate effectively can make you a valuable asset in cross-functional teams and client engagements.
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Skills
Frequently Asked Questions
What kind of data will I be working with?You'll work with various types of data, including semi-structured text in multiple languages, images, and precise numeric values from online retail channels.
How much experience is required for this role?We are looking for candidates with at least 2 years of relevant working experience in a similar role.
What tools will I be using for visualization and analysis?You'll have the opportunity to work with popular visualization frameworks like Matplotlib or Plotly, depending on your preferences and project requirements.
