<p><p>As the member Data Science, this is your opportunity to be part of a next-gen data science team.
As a Junior Data Scientist, you'll work across business analytics, data engineering, and advanced modelling projects.
</p><p><br/></p><p>You will gain hands-on experience in building clean data pipelines, generating user-level insights, and contributing to models that decode complex consumer behaviour.
If you're eager to grow at the intersection of data engineering, analytics, and AI, this role is your launchpad.<br/><br/>You will influence strategic decisions, pioneer ground breaking technologies, and deliver insights that empower businesses across industries.
If you are a visionary who thrives on solving complex challenges and driving transformative change, this role is your canvas to create, inspire, and lead.<br/><br/><b>What You'll Do :</b><br/><br/><b>Learn, Build, and Apply :</b><br/><br/>- Support the development of VTIONs behavioral data models through cleaning, transformation, and feature engineering.<br/><br/></p><p>- Assist in the construction and automation of data pipelines with engineering teams.<br/><br/></p><p>- Engage in business analytics projects translating behavioral data into marketing and user insights<br/><br/><b>Bridge Data and Business :</b><br/><br/>- Deliver exploratory analyses, cohort insights, and trend reports to support strategic decisions.<br/><br/></p><p>- Contribute to real-time dashboards and visualizations for internal and client use (Power BI, Tableau, Plotly).<br/><br/><b>Support Innovation :</b><br/><br/>- Work on classification, clustering, and segmentation models using Python (Scikit-learn, pandas, NumPy).<br/><br/><b>Collaborate & Evolve :</b><br/><br/>- Partner with data scientists, engineers, and product teams to deliver scalable solutions.<br/><br/></p><p>- Participate in sprint reviews, brainstorms, and post-analysis reviews to drive learning and iteration.<br/><br/></p><p>- Continuously explore new tools, methods, and technologies to elevate your own practice.<br/><br/><b>What Were Looking For :</b><br/><br/><b>Technical Mastery :</b><br/><br/>- Python (pandas, NumPy, scikit-learn, matplotlib)<br/><br/></p><p>- SQL for data querying<br/><br/></p><p>- Exposure to cloud platforms (AWS, GCP preferred)<br/><br/></p><p>- Bonus : Familiarity with Git, Airflow, dbt, or vector databases<br/><br/><b>Analytics Mindset :</b><br/><br/>- Ability to interpret business problems into data questions<br/><br/></p><p>- Understanding of basic statistics, experiment design, and metrics interpretation<br/><br/><b>Curiosity and Drive :</b><br/><br/>- Eagerness to learn in a dynamic, fast-paced environment<br/><br/></p><p>- Strong communication skills and a collaborative spirit<br/><br/><b>Why Join Us :</b><br/><br/>- Contribute to real-time, high-impact data applications<br/><br/></p><p>- Be mentored by senior leaders in AI, LLMs, and semantic intelligence<br/><br/></p><p>- Build a career path that spans across analytics, engineering, and research<br/><br/></p><p>- Thrive in a culture that values creativity, continuous learning, and ownership</p><br/></p> (ref:hirist.tech)