Data scientist job description

Company Details

(C.N) is an established technological firm dedicated to innovation and standards upliftment. We leverage data-driven insights to drive growth, optimize holistic processes, and deliver exceptional value to potential clients. As we continue to expand our abilities and talents, our team as data analysts plays an imperative role in leveraging productive output and developing advanced analytical models in solving complex problems.

Job Description

We are actively seeking a dedicated data scientist who will be handling a diverse range of responsibilities from collecting and analyzing to developing advanced analytical models according to data. The candidate should be skilled in the usage of statistical analysis, machine learning algorithms, and data techniques, and in providing informational insights into customer behavior and market dynamics.

The candidate should hold technical skills which is an obvious cornerstone of any data scientist. Must be skilled in programming languages such as Python, R, and SQL as well as data manipulation. One should be well aware of machine learning, regression, neural networks, and model evaluation.

Apart from this candidate should have a keen eye for detail in identifying patterns, animosities, and problem-solving addressing complex challenges. Candidates should be confident in drawing meaningful conclusions from data. The best fit for this position would be one who can be a good speaker and listener and holds the ability of effective communication where they can drive proper decision making. One should be aware of collaborations and integrating analytical skills into existing processes.

This field will be constantly evolving with challenges which require consistent focus and diligent efforts by candidates to stay abreast of latest trends and best practices in A.I, data science and machine learning. They should possess growth mindsets and be adaptable to change embracing challenges as part of their project. By leveraging their technical expertise, skills and other abilities they will be empowering organizations in optimizing processes, and keeping ahead of organizations. As per the demands of the role, data scientists will be playing an influential role in shaping the future of an organization.

Responsibilities

• Collecting, cleaning, and processing data from various sources ensuring accuracy and competences.
• Performing exploratory data analysis trends, and patterns and offering valuable insights into business performance.
• Developing predictive models and algorithms to address specific businesses, like recommendation systems
• Should be aware of Advanced machine learning, classifications, clustering, and deep learning
• Evaluation of performance of predictive models using definite metrics and techniques
• Refine models based on feedback and insights to improve accuracy, robustness, and scalability.
• Should be well-settled in compelling data visualizations, dashboards, and reports.
• Translating complex technical concepts into actionable suggestions for business teams.
• Should be able to handle challenges and as executive leadership
• Partnering with data engineers, software developers, and analysts to integrate analytical solutions to existing systems and activities
• Keeping pace with competition and the latest trends in artificial intelligence working on their skills with efficiency.

Education

• Bachelor's degree or higher degree in computer science, statistics, mathematics, or engineering
• Any advanced degree either in master's or Ph.D. preferred

Required Skills & Experience

• Prior experience in machine learning like Scikit team, Tensor Flow, or Pytorch.
• Proficiency in programming languages such as Python or R with experience in data, manipulation
• Should be aware of SQL and database
• Strong analytical skills and experimental designs
• Clear approach towards findings, recommendations, and concepts about nontechnical principle
• Ability to thrive in a fast-paced environment and willingness to learn new technologies and common goals.