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Data Scientist

2 months ago

Noida, India Valkyrie People Consulting Full time

Job Title: Data Scientist

Location: Noida, India

Industry: IT

Job Summary:

We are seeking a highly skilled Data Scientist to join our IT team and contribute to our data-driven decision-making processes. The ideal candidate will have a strong background in statistical modeling, machine learning, and data analytics, enabling them to interpret complex data and derive actionable insights that drive business outcomes.

Key Responsibilities:

  • Data Analysis and Insights: Analyze large, complex datasets to identify patterns, trends, and actionable insights that align with business goals.
  • Model Development: Design, build, and deploy predictive models and machine learning algorithms to solve business problems and enhance decision-making.
  • Data Visualization: Create compelling data visualizations and dashboards to present findings and communicate insights to stakeholders.
  • Collaboration with Cross-Functional Teams: Work closely with product, engineering, and business teams to define data needs, deliver insights, and drive data-driven strategies.
  • Data Cleaning and Preparation: Process, cleanse, and verify the integrity of data used for analysis to ensure quality results.
  • Experimentation and Hypothesis Testing: Design and conduct experiments to test hypotheses and analyze the impact of different business initiatives.
  • Continuous Improvement: Stay updated with the latest industry trends, tools, and technologies in data science, machine learning, and artificial intelligence to enhance analytical capabilities.

Requirements:

  • Experience: 3+ years of experience in data science or analytics, preferably in the IT sector.
  • Education: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Technical Skills: Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow). Experience with data visualization tools (e.g., Tableau, Power BI).
  • Analytical Skills: Strong statistical analysis and mathematical modeling skills, with a deep understanding of various machine learning algorithms and techniques.
  • Problem-Solving Abilities: Excellent critical thinking skills with a proactive approach to problem-solving and the ability to work with large datasets.
  • Communication: Strong verbal and written communication skills to effectively share insights and collaborate with technical and non-technical teams.

Preferred Qualifications:

  • Experience with big data platforms (e.g., Hadoop, Spark).
  • Knowledge of deep learning frameworks.
  • Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.

Personal Attributes:

  • Detail-oriented and quality-driven
  • Ability to work in a fast-paced, dynamic environment
  • Proactive and self-motivated with a strong commitment to learning