Job Description
Senior Data Scientist
India - Pune
At NICE, we dont limit our challenges. We challenge our limits. Always. Were ambitious. Were game changers. And we play to win. We set the highest standards and execute beyond them. And if youre like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, whats the role all about?
We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate should have a minimum 4s of years of experience in data science, with hands-on experience in developing and implementing Generative AI solutions. The Senior Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems
How will you make an impact?
- Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment.
- Develop predictive models and machine learning algorithms to extract actionable insights from large and complex datasets.
- Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data.
- Collaborate with stakeholders to understand business requirements and translate them into analytical solutions that drive value and impact.
- Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges
Have you got what it takes?
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred.
- Minimum of 4 years of hands-on experience in data science and machine learning , with at least 6 months of experience in Generative AI development.
- Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc.).
- Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning.
- Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs.
- Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains.
- Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment.
- Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences.
- Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects.
- Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects.
Preferred Qualifications:
- Experience working in industries such as finance, banking.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models.
- Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating interactive dashboards and reports.
- Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects.
- Hands-on experience with vector databases (e.g. Pinecone) and embedding techniques.
Whats in it for you?
Join an ever-growing, market disrupting, global company where the teams comprised of the best of the best work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!
Enjoy NICE-FLEX!
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
Requisition ID: 7409
Reporting into:Tech Manager
Role Type: Individual Contributor
Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: NICE
Location(s): Pune
Keyskills:
algorithms
scikit-learn
methods
interpersonal skills
numpy
evaluation
deep learning
data science
gcp
flex
machine learning algorithms
programming
communication skills
development
python
microsoft azure
power bi
engineering
machine learning
analysis
nice
pandas
r
tableau
aws