Data Scientist
Data Scientist
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Job Description
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.
Educational Background: Bachelor's 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, Scikit-Learn, 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: 2-3 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 large-scale 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. Soft Skills: Strong problem-solving 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 non-technical 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.
Employment Type
Full Time
Company Industry
Higher Education / Education / Professional Training and Coaching / Education Administration Programs
