Senior Data Scientist, Actimize

4 weeks ago

pune, India NICE Full time

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.

Overview :
We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate should have a minimum 5 of years of experience in the field of data science, with a proven track record of delivering impactful insights and driving data-driven decision-making processes. The Senior Data Scientist will be responsible for developing predictive models and collaborating with cross-functional teams to solve complex business problems.

Key Responsibilities:

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, and artificial intelligence, and recommend innovative approaches to solve business challenges.

Qualifications :

Bachelor's degree in computer science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred. Minimum of 5 years of hands-on experience in data science, machine learning, and predictive analytics, with a proven track record of delivering successful projects. Proficiency in programming languages such as Python, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning. 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. 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). Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Good to have knowledge about Generative AI tools and API's.

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