Goli Nutrition

Data Private Limited is looking for 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. You will work closely with various teams to develop data-driven solutions that enhance business processes and outcomes.

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.

Required Skills :

- 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.