Data Scientist for Complex Data Interpretation and Strategic Decision Making

4 weeks ago


Gurgaon, Haryana, India Goli India Full time

Data Scientist Role at Goli Nutrition

Job Summary

Goli Nutrition is seeking a skilled Data Scientist to interpret and manage complex data sets, provide actionable insights, and contribute to strategic decision-making. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods, and experience with machine learning algorithms.

Key Responsibilities
  • Analyse large and complex datasets to identify trends, patterns, and insights. Utilize statistical and machine learning techniques to drive business decisions.
  • Design, develop, and implement predictive models and algorithms to solve business problems and improve processes.
  • Create compelling data visualizations and dashboards to present findings to stakeholders in a clear and actionable manner.
  • Work closely with cross-functional teams, including engineering, marketing, and product management, to understand business needs and provide data-driven solutions.
  • Ensure the quality and integrity of data by developing and maintaining data pipelines, performing data cleaning, and ensuring data accuracy.
  • Generate regular and ad-hoc reports, and present results to senior management and other stakeholders.
  • Stay up to date with the latest trends and technologies in data science and apply them to enhance our capabilities.
Requirements
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • 4-7 years of experience in data science or a related role, with a proven track record of applying data analysis and machine learning techniques to solve complex problems.
  • Proficiency in programming languages such as Python or R.
  • Experience with data manipulation and analysis tools such as SQL, Pandas, NumPy, etc.
  • Familiarity with machine learning frameworks like TensorFlow, Scikit-learn, or similar.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.
  • Experience with big data technologies such as Hadoop, Spark, or similar.
  • Knowledge of cloud platforms like AWS, Azure, or Google Cloud.
  • Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.
  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Strong attention to detail and commitment to delivering high-quality work.

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