Data Scientist

Introduction: Join DataCouch where data drives our core strategic decisions. As a Data Scientist you will harness advanced analytics to solve complex challenges and propel business success. We seek a talented individual eager to use their expertise in machine learning data analysis and predictive modeling to make a significant impact.

Responsibilities:

• Develop train and implement predictive models and algorithms to drive business solutions.
  

• Analyze complex data sets to identify trends patterns and insights that can influence business decisions.
  

• Perform data mining to discover data patterns and trends.
  

• Develop and maintain advanced reporting analytics dashboards and other BI solutions.
  

• Collaborate with stakeholders to gather requirements and deliver reports and analyses that meet business needs.
  

• Provide support for analytics initiatives by cleaning and structuring data appropriately.
  

• Stay updated with industry trends and advancements in data analytics and visualization technologies.
  

• Collaborate with crossfunctional teams to understand business needs and provide datadriven solutions.
  

• Evaluate model performance and iteratively improve on existing methodologies.
  

• Document and present model processes insights and recommendations to stakeholders.
  

Requirements

Educational Background:

• Bachelors and Master s degrees in Data Science Computer Science Statistics or a related field.
  

Technical Skills:

• Proficient in Python and familiar with key data science libraries (Pandas ScikitLearn TensorFlow or PyTorch).
  

• Strong understanding of all complex machine learning algorithms not limited to decision trees random forests and gradient boosting machines.
  

• Competence in data preprocessing cleaning and analysis.
  

• Familiarity with data cleaning transformation and preprocessing techniques.
  

• Experience with SQL and possibly some NoSQL databases for data querying and manipulation.
  

• Basic knowledge of data visualization tools like Matplotlib and Seaborn.
  

• Strong skills in SQL for data extraction and the ability to work with complex database systems.
  

• Advanced knowledge of analytical tools and software such as Excel Tableau or more specialized software depending on the industry (e.g. SAS SPSS).
  

• Experience with data visualization and the ability to create interactive dashboards.
  

• Vast knowledge of NLP Deep Learning Machine Learning Knowledge of genAI with implementation knowledge (LLM fine tuning RAG implementation) and many more.
  

• Familiarity with cloud services (AWS Azure Google Cloud) for data processing and storage..
  

Professional Experience:

• 23 years of experience in a data science or related role.
  

• Proven track record of developing and deploying machine learning models to solve business problems.
  

• Experience in projects that involve complex data structures and largescale datasets.
  

• Exposure to model validation and implementation in a production environment.
  

• Demonstrated experience in analyzing large datasets and delivering actionable insights.
  

• Proven track record of effectively communicating findings to help inform business decisions.
  

• Experience in performing statistical analysis forecasting and establishing data structures that optimize analytical capabilities.
  

• Strong problemsolving skills with a capability to work through complex issues using a logical and analytical approach.
  

• Good communication skills to effectively articulate insights and technical details to nontechnical stakeholders.
  

• Ability to work collaboratively in team settings and manage project timelines effectively.
  

• Strong attention to detail with the capability to work on multiple projects simultaneously.
  

• Effective communication skills capable of presenting complex information in an understandable and compelling manner.
  

• Collaboration skills to work effectively with both technical teams and business units.
  

Benefits

• Performance Bonuses: Additional 10% to 20% of the base salary based on performance.
  
• Additional Perks: Health insurance professional development opportunities flexible working hours.
  

• Work with a globally recognized team on cuttingedge AI/ML projects.
  
• Be a part of a culture that values curiosity continuous learning and impact.
  
• Opportunity to collaborate with Fortune 500 clients and industry leaders.
  
• Grow your career by becoming an instructor and sharing your knowledge worldwide.