Sr. Manager, Data Science
Ziff Davis
- Hyderabad, Telangana Bangalore, Karnataka
- Permanent
- Full-time
- Provide strategic vision and leadership to the data science team, nurturing an environment of innovation and collaboration. Establish well-defined objectives, oversee team performance, and cultivate the growth of team members' skills and abilities.
- Collaborate with senior leadership to develop data-driven strategies that align with business objectives and drive growth as we develop our next generation of marketing technology. Identify opportunities to leverage data analytics and machine learning to gain a competitive advantage.
- Oversee the analysis of large datasets to extract meaningful insights, trends, and patterns. Use statistical techniques and machine learning models to solve complex business problems.
- Spearhead the creation of predictive models, recommendation systems, and various other data science solutions aimed at enhancing operational efficiency, elevating customer experiences, and refining our product offerings.
- Establish data governance policies and practices to protect sensitive information. Ensure data quality, accuracy, and security standards are maintained.
- Work closely with cross-functional teams including engineering, product management, sales and customer success to identify and address data-related needs and opportunities.
- Keep abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Recommend and implement new tools and technologies as needed.
- Proven experience (8+years) in Data Science, with at least 3 years in a management role.
- Bachelor's or Master's degree or PhD in Data Science, Computer Science, Statistics, or a related field.
- Strong knowledge of data analysis, machine learning, and statistical modelling.
- Excellent verbal and written communication skills
- Proficiency in programming languages like Python, R, SQL
- Experience in big data technology and cloud-based development (prefer AWS)
- Specialization in Deep Learning, NLP, OR, RL, Time Series, MLOps, etc.
- Experience using a wide range of data science and engineering tools and technologies including Matillion, Snowflake, PySpark, Kubernetes, Tableau, Open Source packages, etc.
- Ability to translate business requirements into technical solutions.
- Strong project management and team management skills.
- Understanding of data privacy and compliance regulations (e.g., GDPR, CCPA).
- Knowledge of NLP/Recommender Systems/RTB/Martech is an added advantage.
- Unlimited flexible time off
- Volunteer paid time off
- Generous holidays
- Recognition Programs - yes there are multiple, AND prizes!
- Remote-first work experience and a work from anywhere culture
- Weekly coffee chats with leaders
- Wellness and mindfulness programs
- Career advancement opportunities
- Sick days
- Generous Paid Parental Leave
- Bi-weekly Townhalls
- Regional holiday celebrations
- Community give-back celebrations
- Transportation Assistance for night-shift employees
- Unwavering commitment to diversity and inclusion
- Employee stock purchase program
- ...and more!