Data Scientist

3 weeks ago

Any Location, IN Info Origin Inc Full time

Key Responsibilities :

- Data Analysis and Interpretation :

- Analyze large datasets to identify patterns, trends, and insights.

- Perform exploratory data analysis to understand data distributions and relationships.

Statistical Modeling and Machine Learning :

- Develop, implement, and validate statistical models and machine learning algorithms.

- Apply predictive modeling techniques to drive business strategies and decision-making.

Data Processing and Management :

- Clean, preprocess, and transform raw data into usable formats.

- Manage and maintain large datasets, ensuring data integrity and quality.

Feature Engineering :

- Identify and create relevant features for model development.

- Optimize features to improve model accuracy and performance.

Tool and Technology Utilization :

- Use data science tools such as Python, R, SQL, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).

- Utilize data visualization tools like Tableau, Power BI, or similar platforms to present findings.

Collaboration and Communication :

- Collaborate with cross-functional teams to understand business requirements and objectives.

- Communicate complex analytical concepts and results to non-technical stakeholders.

Research and Innovation :

- Stay updated with the latest developments in data science, machine learning, and AI technologies.

- Innovate and experiment with new techniques to enhance data analysis and modeling capabilities.

Required Qualifications :

Experience :

- 5 to 7 years of experience in data science, analytics, or a related field.

- Proven track record in developing and implementing statistical models and machine learning algorithms.

Technical Skills :

- Proficiency in programming languages such as Python, R, and SQL.

- Experience with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, Keras).

- Strong understanding of statistical analysis, data mining, and machine learning techniques.

- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).

Analytical and Problem-Solving Skills :

- Excellent analytical skills with the ability to process and interpret complex data.

- Strong problem-solving abilities to develop innovative solutions to business challenges.

Communication and Collaboration :

- Excellent communication skills to convey technical information to non-technical stakeholders.

- Ability to work collaboratively in a team environment.

Preferred Qualifications :

- Advanced degree (Master's or PhD) in Data Science, Statistics, Computer Science, or a related field.

- Experience with big data technologies such as Hadoop, Spark, or similar platforms.

- Familiarity with cloud computing services (e.g., AWS, Google Cloud, Azure) for data processing and storage.

- Knowledge of natural language processing (NLP) and deep learning techniques.

(ref:hirist.tech)

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