At NICE, we don’t limit our challenges. We challenge our limits. Constantly. We’re relentless. We’re ambitious. And we make an impact. Our NICErs bring their A game and spend each day turning it into an A+. And if you’re like us, we can offer you the kind of challenge that will light a fire within you.
Position: Tech Manager, Data Science
Location: Pune, India
About NICE Actimize
NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions & has been consistently ranked as number one in the space
At NICE Actimize, we recognize that every employee’s contributions are integral to our company’s growth and success. To find and acquire the best and brightest talent around the globe, we offer a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. Come share, grow and learn with us – you’ll be challenged, you’ll have fun and you’ll be part of a fast growing, highly respected organization.
We seek a dynamic Tech Manager in Data Science to join our team in Pune. In this role, you will be crucial in research management, team leadership, and supporting various data science activities on the delivery side.
Key Responsibilities
- Lead and manage data science teams, providing guidance, direction, and mentorship.
- Drive research initiatives, foster innovation, and find cutting-edge solutions to complex problems.
- Collaborate with cross-functional stakeholders to facilitate communication and synergy between teams.
- Create thought leadership in the field and be the AI leader of the team.
- Enhance research agility and progression.
- Work closely with product managers, DS Research teams, Engineering teams, and data scientists to build futuristic ML models.
- Actively guide and mentor team of Data Scientists.
- Manage all people aspects of the team, such as hiring, reviews, mentoring, and promotions, etc.
- Prioritize, assign and manage department activities and projects in accordance with the R&D departments goals and objectives.
- Develop performance-oriented culture
Requirements:
The qualifications and skills required for this position include:
Qualifications
- 12+ years of experience in Software Industry
- At least 3+ years' experience in managing teams of Data Scientists and Data analysts.
- Master’s degree in computer science, Mathematics, Data Science, or a related field.
- Previous experience as a hands-on Data Scientist.
- Proficiency in Python and practical experience in its application.
- Familiarity and/or experience with private and public cloud infrastructures and technologies such as Amazon Web Services (AWS).
- Familiarity with complex systems and how large organizations operate.
- Effective People Management skills - Holds team members accountable and inspires, motivates, develops, and engages team to create strong morale and spirit; shares wins and successes; fosters open dialogue, and creates a feeling of belonging in the team
- Managerial Courage - Provides current, direct, complete, and actionable positive and corrective feedback to others; is not afraid to make difficult changes to the team when necessary
- Exceptional verbal and written communication skills in English.
- Builds constructive and solid working relationships across the organization.
- Strong presentation skills, with the ability to convey complex ideas to executives.
About NICE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
