Lead Data Scientist - Machine Learning

<p><p><b>About the Role :</b></p><p><p><b><br/></b></p>We are looking for an experienced Lead Data Scientist to drive our data strategy, lead advanced analytics initiatives, and guide a high-performing team.<br/><br/></p><p>In this role, you will partner with cross-functional stakeholders to transform complex data into actionable insights, influence product and business decisions, and scale our data science Responsibilities :</b></p><p><b><br/></b></p>- Lead and mentor a team, providing technical guidance and career development.<br/><br/></p><p>- Partner with product, engineering, and business teams to identify opportunities where data science can add value.<br/><br/></p><p>- Design and implement machine learning models, statistical analyses, and predictive systems at scale.<br/><br/></p><p>- Translate complex findings into clear business recommendations for leadership.<br/><br/></p><p>- Define best practices for experimentation, model evaluation, and data quality.<br/><br/></p><p>- Stay up to date with emerging technologies and research in data science, applying them to solve business problems.<br/><br/></p><p>- Establish frameworks for reproducible, reliable, and ethical AI/ML :</b></p><p><b><br/></b></p>- Masters or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field.<br/><br/></p><p>- 7+ years of experience in data science, with at least 2+ years in a leadership or team lead role.<br/><br/></p><p>- Strong expertise in machine learning, statistical modeling, and data visualization.<br/><br/></p><p>- Proficiency in Python, R, or similar programming languages, and experience with big data technologies (e.g., Spark, Hadoop).<br/><br/></p><p>- Hands-on experience with SQL and cloud platforms (AWS, GCP, or Azure).<br/><br/></p><p>- Excellent communication skills to explain technical concepts to non-technical audiences.<br/><br/></p><p>- Proven ability to influence decision-making and drive measurable business impact through data.</p><p><br/></p><p><b>Nice to Have :</b></p><p><p><b><br/></b></p>- Experience working in product-driven or SaaS companies.<br/><br/></p><p>- Background in deep learning, NLP, or recommendation systems.<br/><br/></p><p>- Contributions to open-source projects or research Information :</b></p><p><b><br/></b></p><p><b>Perks & Benefits :</b></p></p><p><b><br/></b>- Equity.<br/><br/></p><p>- Medical insurance for employees and dependents.<br/><br/></p><p>- Quarterly Professional Development allowance.<br/><br/></p><p>- Company Wellness Days (On months without holidays, you are still given a 3-day weekend).<br/><br/></p><p>Sense is an equal-opportunity employer.</p><p><br/></p><p>We believe that diversity, inclusion, and belonging are integral to our success and do not discriminate based on race, color, religion, age, or any other basis protected by law.</p><p><br/>All your information will be kept confidential according to EEO guidelines.</p><br/></p> (ref:hirist.tech)