Senior Data Scientist

Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We’re privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word ‘partner’ over ‘vendor’, and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams. Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture. About the opportunity: Work Model: On-site Location:On site - New York 10007 Job Description The Consumer Data Science team leverages data to help grow Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. We work on a wide range of challenging problems in the areas of metrics, measurement, modeling, and experimentation. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling. About the Role: We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Consumer Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods . You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact . Main job duties include: Design, develop, and apply DS solutions to inform improvements in across our main Consumer product teams, including Feeds, Search, Growth and Content Ecosystem. Creating data assets (new tables, self-serve dashboards, etc.) to enable partners to answer their own data questions Creating reporting dashboards for product and engineering partners to understand topline metrics movements and deep dive into specific areas of interest Analyze large-scale datasets to identify trends, patterns, and insights. Collaborate with product managers and engineers to define product requirements and translate them into data science solutions Uncovering strategic insights and sharing them with stakeholders to shape future product directions Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition Communicate findings and recommendations to stakeholders across the organization Qualifications: BS, MS or PhD in Computer Science, Statistics, Mathematics, or a related field 3+ years of experience in data science, machine learning, or a related field Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus Experience with SQL and relational databases Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch Bonus Points: Experience working in the Consumer technology space Experience with causal inference and A/B testing: Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services.