i-Qode Digital Solutions Hiring Drive 2024: i-Qode Digital Solutions Hiring Drive 2024 for its Data Scientist. i-Qode Digital Solutions Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Masters or Ph.D. in Computer Science, Mathematics, Statistics, Economics, or related field. if you are interested, please apply as soon as possible.
Company Name: i-Qode Digital Solutions
Role: Data Scientist
Location: Across India
Experience: 1 – 8 years
Qualification: Masters or Ph.D. in Computer Science, Mathematics, Statistics, Economics, or related field
Batch: Any
Job Type: Full Time
Salary: Best in Industry
i-Qode Digital Solutions Hiring Drive 2024
Job Description:
- The Data Scientist plays a crucial role in our organization by employing advanced analytical and statistical techniques to interpret complex data, providing valuable insights for decision-making processes.
- They are responsible for leveraging data to identify trends, build predictive models, and drive strategic business solutions.
Requirements:
- Masters or Ph.D. in Computer Science, Mathematics, Statistics, Economics, or related field
- Proven experience as a Data Scientist or in a similar role
- Strong understanding of machine learning, algorithms, and statistics
- Proficiency in programming languages such as Python, R, or Java
- Experience with data visualization tools, such as D3.js, Matplotlib, or Tableau
- Knowledge of big data technologies such as Hadoop, Spark, or Hive
- Expertise in SQL, NoSQL databases, and data warehousing
- Familiarity with cloud services like AWS, Azure, or GCP
- Excellent communication and presentation skills
- Ability to explain complex analytical concepts to non-technical stakeholders
- Problem-solving aptitude and critical thinking
- Experience working with unstructured data and text mining
- Strong organizational and project management skills
- Capability to collaborate effectively in a team environment
- Experience in data-driven decision making and business strategy development
Responsibility:
- Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions
- Develop custom data models and algorithms to apply to large data sets
- Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build and present insights through data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams to prioritize information needs
- Conduct statistical analysis to make data-driven decisions
- Develop and improve existing algorithms and models
- Keep up-to-date with the latest technology and trends in data science
- Communicate results and ideas to key stakeholders
- Identify opportunities for process and product improvements
- Mentor and guide junior data scientists
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