Data Scientist
1 month ago
Job Opportunity with HCL Tech- Looking only for Immediate joiner for Data Scientist role _Noida location.
Interested candidate kindly email your updated resume with subject line "Data Scientist_Nodia_" to
Data Scientist Job Description:-
Relevant Exp Range: 5+ years and above
As a Data Scientist, you will be responsible for utilizing your analytical and technical skills to extract valuable insights from complex datasets, contributing to data-driven decision-making and enhancing our business strategies. Your role will involve designing and implementing statistical models, machine learning algorithms, and data mining techniques to solve challenging problems . You will collaborate with cross-functional teams to identify opportunities for data-driven improvements and present findings to both technical and non-technical stakeholders.
Responsibilities: -
- Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
- Collaborate with domain experts, engineers, and stakeholders to understand business requirements and translate them into analytical solutions
- Communicate complex findings and insights to both technical and non-technical audiences through clear visualizations, presentations, and reports
- Clean, preprocess, and transform data to ensure its quality and suitability for analysis
- Perform data and error analysis to improve models using Python and R
- Conduct exploratory data analysis to identify patterns, trends, and anomalies, and translate them into actionable recommendations with clear objectives in mind
- Continuously evaluate model performance and make improvements based on real-world outcomes
Required skills and qualifications: -
- Bachelor's/Master's/Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- 5+ years prior experience in a data science role or related field is preferred
- Proficiency in programming languages such as Python or R for data analysis and modeling
- Proficiency with data mining, mathematics, and statistical analysis using Python and R
- Strong understanding of machine learning techniques, algorithms, and their applications
- Advanced experience in pattern recognition and predictive modeling
- Experience with Excel, PowerPoint, Tableau, SQL
- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus
- Great problem-solving skills and the ability to translate business questions into data science tasks
- Strong communication skills to collaborate with cross-functional teams and present findings to diverse audiences
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