Data Scientist

7 days ago

Mohali, Punjab, India DataCouch Full time

Introduction: At DataCouch, we rely on data-driven insights to inform our strategic decisions. As a Data Scientist, you will leverage advanced analytics to tackle complex challenges and drive business success. We seek a talented individual with 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 inform 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:

  • Bachelor's and Master's degrees in Data Science, Computer Science, Statistics, or a related field.
  • Proficient in Python and familiar with key data science libraries (Pandas, Scikit-Learn, TensorFlow, or PyTorch).
  • Strong understanding of complex machine learning algorithms, including 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, and 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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