Data Scientist

<p style=" color: rgb(0, 0, 0);"><strong>🚀Job Opportunity: Data Scientist at StickEarn</strong></p><p style=" color: rgb(0, 0, 0);"><br></p><p style=" color: rgb(0, 0, 0);"><strong>About StickEarn</strong></p><p style=" color: rgb(0, 0, 0);">StickEarn is an advertising technology company on a mission to transform Out-of-Home (OOH) advertising through technology, data, and creativity. We empower brands, agencies, and media owners to create impactful advertising experiences across Indonesia.</p><p style=" color: rgb(0, 0, 0);">As a <strong>Data Scientist</strong>, you will play a key role in solving OOH measurement challenges through data analysis, experimentation, and machine learning. You’ll work with large-scale datasets and collaborate with the team to generate insights that improve product performance, campaign effectiveness, and business decision-making.</p><div><br></div><p style=" color: rgb(0, 0, 0);"><strong>🌟 What You’ll Do</strong></p><ul style=" color: rgb(0, 0, 0);"><li><div><strong>Data Exploration and Analysis: </strong>Conduct in-depth Exploratory Data Analysis (EDA) to uncover patterns, trends, and insights within the given datasets.</div></li><li><div><strong>Data Preprocessing and Cleaning: </strong>Prepare data for analysis by cleaning, transforming, and integrating data from various sources.</div></li><li><div><strong>Model Development: </strong>Build and evaluate statistical and machine learning models to address specific OOH measurement challenges.</div></li><li><div><strong>Experimentation: </strong>Design and execute experiments to test hypotheses and validate model performance.</div></li><li><div><strong>Data Visualization: </strong>Create clear and informative visualizations to communicate findings to both technical and non-technical audiences.</div></li><li><div><strong>Collaboration:</strong> Work closely with cross-functional teams, including data engineers, IoT engineers, and product managers to deliver actionable insights.</div></li><li><div><strong>Stay Updated with the Trends:</strong> Keep abreast of the latest advancements in data science, machine learning, and OOH measurement technologies.</div></li></ul><div><br></div><div><strong>✅ What We’re Looking For</strong></div><ul><li><div>Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.</div></li><li><div>Strong foundation in statistical methods and probability.</div></li><li><div>Proficiency in programming languages such as Python or R.</div></li><li><div>Experience with data manipulation and analysis using libraries like Pandas, NumPy.</div></li><li><div>Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).</div></li><li><div>Basic understanding of machine learning concepts and algorithms.</div></li><li><div>Excellent problem-solving and analytical skills.</div></li><li><div>Strong attention to detail and accuracy.</div></li><li><div>Ability to work independently and as part of a team.</div></li><li><div>Passion for data and a desire to learn and grow.</div></li><li><div>Experience with big data technologies and tools (e.g., Hadoop, Spark).</div></li><li><div>Knowledge of media industry and measurement concepts.</div></li><li><div>Exposure to computer vision and image processing techniques.</div></li><li><div>Experience with time series analysis and forecasting.</div></li></ul><div><br></div><div><strong>🎁 What We Offer</strong></div><ul><li><div>Hybrid working setup</div></li><li><div>Private insurance to keep you covered</div></li><li><div>Training budget &amp; laptop ownership program to support your growth</div></li><li><div>Competitive compensation package with yearly bonus</div></li><li><div>Flexible &amp; anniversary leaves to support work-life balance and celebrate milestones</div></li></ul><p style=" color: rgb(0, 0, 0);"><br></p><p style=" color: rgb(0, 0, 0);">If you enjoy solving real-world problems with data and want to build technology that makes OOH advertising smarter and more measurable, we’d love to hear from you! 📊🚀</p><p style=" color: rgb(0, 0, 0);"><br></p><p style=" color: rgb(0, 0, 0);"><em>*Only shortlisted candidates will be contacted.</em></p>