HR Service Jobs is looking for an enthusiastic and driven Data Scientist to join our team in Delhi/NCR. In this role, you will analyze vast amounts of data to drive business insights and decisions. This position is ideal for a professional who has 0-2 years of experience and is passionate about using data to solve complex problems. You will work closely with cross-functional teams to create data models and generate insights that contribute to our organization’s growth and operational efficiency.

Key Responsibilities:

• Collect, process, and analyze large datasets to uncover trends and patterns.
• Build predictive models and machine learning algorithms to assist in business decision-making.
• Collaborate with different departments to understand data needs and provide actionable insights.
• Generate data reports and dashboards to communicate findings to non-technical stakeholders.
• Ensure data integrity, quality, and accuracy in analysis and reporting.
• Assist in the development and improvement of data collection systems and other strategies to optimize statistical efficiency.
• Continuously monitor data models and algorithms, refining them for better performance and accuracy.
• Stay up-to-date with emerging trends in data science, tools, and technologies.

Required Skills and Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proficiency in data analytics tools such as Python, R, and SQL.
• Strong understanding of machine learning techniques, statistical methods, and algorithms.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Ability to translate complex data insights into simple, actionable recommendations for business stakeholders.
• Familiarity with big data platforms such as Hadoop, Spark, or AWS.
• Strong problem-solving skills and attention to detail.
• Excellent communication and interpersonal skills.
• Ability to work both independently and collaboratively in a fast-paced environment.

Experience:

• 0-2 years of professional experience in data science, analytics, or a related field.
• Exposure to working with large datasets and building data models is a plus.

Working Hours:

• Full-time position with standard working hours of 9:00 AM to 6:00 PM, Monday to Friday.
• Flexibility in working hours may be available based on project requirements.

Knowledge, Skills, and Abilities:

• Analytical mindset with the ability to interpret data and provide meaningful insights.
• Strong programming skills in data science-related languages (Python, R).
• Ability to work with structured and unstructured data.
• Knowledge of data management and governance best practices.
• Strong organizational skills, with the ability to manage multiple projects and deadlines.
• Ability to communicate technical concepts to a non-technical audience.

Benefits:

• Competitive salary package based on skills and experience.
• Health insurance and wellness programs.
• Opportunity for professional growth and learning through workshops, courses, and certifications.
• Collaborative work environment with access to cutting-edge data science tools and technologies.
• Flexible work policies that support work-life balance.
• Paid time off, holidays, and other leave entitlements.

Why Join HR Service Jobs:

At HR Service Jobs, we value innovation, growth, and diversity. Joining our team means being part of a forward-thinking organization that empowers its employees to drive change through data. You will have the opportunity to work on impactful projects, learn from industry leaders, and grow your career in an environment that fosters creativity and collaboration. If you are passionate about data and ready to make a difference, HR Service Jobs is the place for you.

How to Apply:

To apply for the Data Scientist position, please submit your resume and a cover letter detailing your experience and skills through our online application portal [insert link]. Make sure to highlight any relevant projects or achievements related to data analysis or machine learning. We look forward to reviewing your application!