As a Senior Data Scientist, you'll lead data science initiatives, develop predictive models, collaborate with cross-functional teams, and drive data-driven decision making. Proven experience in data intelligence product development, machine learning, and project leadership are essential.

ClickPost

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 About Us Established in 2015, ClickPost is Asia's largest Logistics intelligence platform, working with companies such as Walmart, Nykaa, Meesho, Adidas etc to help them improve post purchase customer experience. We have been profitable for past 5 years, are backed by some of the biggest investors around and are growing 2x year on year.We are one of the rare startups working at cutting edge technology, with enormous scales and a brand name that is well respected in Indian Saas and e-commerce world. Our tenets of transparency, learning, ownership and velocity have ensured a culture where multiple ex startup founders are part of the team making it a fun and learning filled place to work at. Role Overview: As a Data Scientist, you will play a crucial role in the data science team and driving data-driven decision-making across the organization. You will be responsible for overseeing the end-to-end data science process, from data collection and analysis to model development and implementation. You will be creating, maintaining and improving data intelligence products in Clickpost. What You Will Do <ul><li> End-to-End Project Leadership: Own the complete life cycle of data science initiatives, from ideation and data collection to model development, deployment, and performance monitoring.</li><li> Hands-On Development: Actively engage in coding and development, employing advanced programming skills to build, test, and refine predictive models and machine learning algorithms.</li><li> Cross-Functional Collaboration: Work closely with engineering, product, and operations teams to ensure seamless integration of data science solutions into our platform, driving significant improvements in logistics operations.</li><li> Innovation and Best Practices: Champion the adoption of state-of-the-art data science methodologies, tools, and best practices, maintaining our competitive edge in the logistics tech sector.</li><li> Strategic Influence: Present data-driven insights and recommendations to senior management and stakeholders, playing a critical role in shaping the strategic direction of the company. </li></ul>
What You Ll Need To Succeed <ul><li> Bachelor's or Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.</li><li> Over 4+ years of experience in data science, including hands-on expertise in statistical modeling, machine learning, and analytics.</li><li> Experience in modeling and production of data intelligence products or initiatives of user profiling, churn prediction or recommendation.</li><li> Proficiency in programming languages such as Python, big data skills - SQL, Spark and machine learning frameworks such as SKLearn and PyTorch/TensorFlow.</li><li> Demonstrated ability in leading data science projects from conception through implementation and evaluation, with a portfolio of successful initiatives.</li><li> Exceptional problem-solving skills and the ability to work autonomously, taking initiative in high-stakes scenarios.</li><li> Excellent communication skills, capable of explaining complex technical details to non-technical stakeholders. </li></ul>
Perks &amp; Benefits We are committed to offering competitive benefits programs for all our employees and enhancing our programs when necessary. <ul><li> Competitive salary package with performance-based bonuses.</li><li> Comprehensive health insurance coverage for you and your dependents.</li><li> Flexible working hours with Hybrid work arrangement.</li><li> Generous vacation and time off.</li><li> Continuous learning and professional development opportunities.</li><li> Employee assistance program for mental health and well-being support.</li><li> Supportive and inclusive work culture promoting diversity and collaboration.</li></ul>

 
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