Data Scientist

3 weeks ago


Sahibzada Ajit Singh Nagar, India DataCouch Full time

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 cross-functional teams to understand business needs and provide data-driven solutions.

  • Evaluate model performance and iteratively improve on existing methodologies.

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



Requirements

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.


Benefits
  • Performance Bonuses: Additional 10% to 20% of the base salary, based on performance.
  • Additional Perks: Health insurance, professional development opportunities, flexible working hours.
Why Join Us?
  • Work with a globally recognized team on cutting-edge 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.

Join us in driving the future of AI and Data Science


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