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Software Engineer - Python with ML and Data Analytics

Software Engineer - Python with ML and Data Analytics

HARMAN

3 - 6 years

5 - 8 Lacs

bengaluru

Posted:Just now| Platform:

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Skills Required

infotainment machine learning manager technology german data analytics data visualization big data digital transformation automotive python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Were seeking a highly skilled and motivated Python Data Analytics Engineer with 3 to 6 years of experience to join our team. Youll play a critical role in working with big data, performing machine learning, and analyzing data using Python.

What You Will Do

1. Data Analytics: Work with big data using Python libraries like PySpark, NumPy, and Pandas.

2. Machine Learning: Develop and implement machine learning models to analyze data and drive insights.

3. Data Analysis: Analyze complex data sets to identify trends, patterns, and correlations.

4. Python Development: Develop and maintain Python-based data analytics scripts and tools.

5. Data Visualization: Create visualizations to communicate insights and findings to stakeholders.

What You Need to Be Successful

1. Technical Skills:

- Hands-on experience with Python programming

- Strong knowledge of data analytics libraries like PySpark, NumPy, and Pandas

- Experience with machine learning algorithms and techniques

- Ability to work with large-scale data sets

2. Experience:

- 3 to 6 years of experience in data analytics and Python development

Bonus Points if You Have

1. Experience with Big Data Tools: Familiarity with big data tools like Hadoop, Hive, or Spark

2. Knowledge of Statistical Modeling: Understanding of statistical modeling techniques and methodologies

3. Data Visualization Tools: Experience with data visualization tools like Matplotlib, Seaborn, or Plotly

What Makes You Eligible

1. Relevant Experience: 3 to 6 years of experience in data analytics and Python development.

2. Technical Expertise: Strong technical skills in Python programming, data analytics, and machine learning.

3. Problem-Solving Abilities: Ability to analyze complex problems and develop effective solutions.

4. Communication Skills: Ability to communicate technical concepts and insights effectively to stakeholders.

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Software Engineer - Python with ML and Data Analytics