Data Science

3 weeks ago

Delhi, India Kenan Management Consultants Pvt Ltd Full time
Job Summary:

The Data Scientist & AI Specialist functions as the bridge between business and data. This role involves applying advanced analytical methods and tools to derive value from data, delivering effective storytelling insights and visualizations to drive enterprise growth. By analyzing patterns and trends through techniques such as classification, clustering, predictive modeling, forecasting, recommendation engines, and other deep learning algorithms, the Data Scientist & AI Specialist will develop data-driven solutions tailored to the enterprise's needs.

Location - CochinKey Responsibilities:Data Mining and Analysis:Extract usable data from valuable data sources and lead in exploring and discovering data-driven opportunities.Process, cleanse, and validate the integrity of structured, semi-structured, and unstructured data for analysis.Analyze large amounts of information to identify patterns and solutions.Model Development and Deployment:Develop prediction systems and machine learning and artificial intelligence algorithms.Design and develop new processes for data modeling and production, helping businesses create and track key performance metrics.Ensure that environments created during model development and training can be replicated easily for final AI-based solutions.Collaboration and Support:Assist data architects and data engineers in data gathering techniques and design processes for maintaining databases, data accuracy, and integrity.Partner with cross-functional teams, such as Engineering, Product Management, and Design, to collaborate on projects.Use agile methodology/sprint-release to deliver data products in a timely manner.Visualization and Communication:Present information using data visualization and storytelling techniques.Propose solutions and strategies to business challenges, communicating actionable insights to a non-technical audience.Innovation and Best Practices:Implement world best practices in building dynamic and scalable models to adapt to changes.Choose the best tools and techniques for algorithms, AI frameworks, and technologies.Stay updated with the latest AI and machine learning advancements to proactively identify opportunities for improvement.Essential Data Science Skills:Statistical Analysis:

Identify patterns in data, including pattern detection and anomaly detection.Machine Learning:

Implement algorithms and statistical models to enable automatic learning from data.Computer Science:

Apply principles of AI, database systems, human/computer interaction, numerical analysis, and software engineering.Programming:

Proficient in Java, R, Python, SQL, and other relevant languages.Data Storytelling:

Communicate actionable insights using data for a non-technical audience.Business Intuition:

Connect with stakeholders to understand the problems they're looking to solve.Analytical Thinking:

Find analytical solutions to abstract business issues.Critical Thinking:

Apply objective analysis of facts before reaching conclusions.Inquisitiveness:

Look beyond the surface to discover patterns and solutions within data.Interpersonal Skills:

Communicate effectively with a diverse audience across all levels of the organization.Qualifications:Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Master's degree preferred.Proven experience as a Data Scientist or in a similar role.Strong understanding of statistical methods, machine learning, deep learning, and AI algorithms.Proficiency in programming languages such as Java, R, Python, and SQL.Experience with big data technologies and tools.Excellent problem-solving skills and attention to detail.Strong communication and interpersonal skills.Ability to work independently and as part of a team.Preferred Qualifications:Experience in an Agile/Scrum environment.Knowledge of distributed architecture and big data technologies.Familiarity with AI frameworks and tools.Understanding of ITIL processes and best practices.What We Offer:Competitive salary and benefits package.Opportunities for professional growth and development.A collaborative and innovative work environment.Flexible working hours and remote work options.Health, dental, and vision insurance.

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