Principal Data Science Manager (Position located in Bengaluru, India)

About KnowBe4

KnowBe4, the provider of the world's largest security awareness training and simulated phishing platform, is used by tens of thousands of organizations around the globe. KnowBe4 enables organizations to manage the ongoing problem of social engineering by helping them train employees to make smarter security decisions, every day.

Fortune has ranked us as a best place to work for women, for millennials, and in technology for four years in a row! We have been certified as a "Great Place To Work" in 8 countries, plus we've earned numerous other prestigious awards, including Glassdoor's Best Places To Work.

Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at KnowBe4.

Please submit your resume in English.

As a Principal Data Science Manager at KnowBe4, you will play a pivotal role in driving our data science initiatives to new heights. Your expertise will shape our product development strategy and ensure the seamless integration of data-driven insights into our cybersecurity solutions. 

Responsibilities:

• May also lead a data science team that builds machine learning data models and algorithms to optimize products and processes
• Translates KnowBe4's strategic goals into operational plans
• Provides coordination across functional and divisional boundaries
• Developing state-of-the-art AI solutions to enable KnowBe4 products.
• Leading a team of data scientists and engineers to develop cutting-edge data solutions  that enhance our product offerings.
• Spearheading the design, execution, and deployment of Generative AI models, driving innovation in our cybersecurity products.
• Collaborating closely with cross-functional teams to understand product requirements, and translating them into actionable data science requirements.
• Defining clear project goals, driving timelines, and ensuring that the team delivers results that meet or exceed targets.
• Championing  best  practices  in  data  science,  ensuring  the  integrity,  accuracy,  and security of our data assets.
• Providing mentorship and technical guidance to team members, fostering a collaborative and growth-oriented environment.
• Regularly  monitoring  and  evaluating  project  progress,  identifying  opportunities  for improvement, and making data-driven decisions.

Requirements:

• BS or equivalent plus 12 years technical experience
• MS or equivalent plus 10 years technical experience
• Ph.D. or equivalent plus 8 years technical experience
• 8 years experience managing data science teams
• Minimum 10 years of experience in data science, with a proven track record of 2+ years of successfully leading teams delivering data-driven products in a product development organization.
• Expertise  in  Generative  AI,  with  hands-on  experience  in  designing  systems  and implementing foundation models to develop products around Natural language, Image, and Video content generation.
• Experience  with  Foundation  model  fine-tuning  and  Retrieval-augmented  generation (RAG) development.  
• Hands-on experience with Transformers, LLMs deployments and Vector databases.
• Professional experience or learning projects using a few technologies like Langchain, Llamaindex, Pinecone, Sagemaker Jumpstart, Chatgpt, AWS Bedrock, and VertexAI.
• In-depth hands-on Individual Contributor experience in building machine learning and deep learning models, statistical analysis, and data visualization tools. 
• Proficiency in programming languages such as Python, and a deep understanding of data manipulation and analysis techniques. 
• Hands-on  experience  with  AWS  services  and  exposure  to  AWS  machine  learning services. 
• Tech  stack  could  be  anything  within  the  data  science  realm  -  Experience  with  ML platforms  such  as  Tensorflow,  PyTorch,  etc.  and  open  to  quickly  learning  new technologies. 
• Exposure  in  managing  large  datasets,  with  a  focus  on  Data  Engineering  skills. Proficiency in Shell scripting, and familiarity with Hadoop, Spark, Spark-SQL, and Scala is a plus. 
• Excellent problem-solving skills, with the ability to identify business challenges and craft innovative data solutions. 
• Exceptional leadership and communication skills, with the ability to collaborate effectively with  cross-functional  teams  and  present  complex  concepts  to  non-technical stakeholders. 
• Results-oriented mindset with a proven ability to drive projects to successful completion, meeting or exceeding goals.

Our Fantastic Benefits

We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, certification completion bonuses, and a relaxed dress code - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits.

Note: An applicant assessment and background check may be part of your hiring procedure.

Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.

No recruitment agencies, please.