Open C2c Role Data Scientist urgent need

Tech Mirrors; San Jose (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Tech Mirrors is seeking a Data Scientist in San Jose, CA, offering hybrid work (3 days in the office per week). The role focuses on data cleaning, statistical analysis, and building predictive models using PySpark and Python.

You will work with big data stacks like Spark, Hadoop, and Snowflake, delivering data-driven insights to stakeholders. The ideal candidate should have strong programming skills, experience with ML techniques, data visualization, and familiarity with clients' standards and

Qualifications

• Strong programming skills in Python and PySpark for data processing and modeling.
• Experience building scalable data pipelines and ML models.

Responsibilities

• Utilize standard libraries and frameworks for data manipulation, analysis, and modeling.
• Conduct statistical analysis to extract insights and identify patterns in large datasets.
• Design and implement statistical models for predictive analytics and forecasting.
• Develop and implement machine learning algorithms for predictive modeling and analysis.
• Create data visualizations to communicate findings to stakeholders using Tableau or Matplotlib.

Skills

PySpark

Python

Tools

Apache Spark

Hadoop

Hive

Snowflake

Azure Databricks

Tableau

Matplotlib

Pandas

NumPy

Scikit-learn

TensorFlow

Job description

Role: Data Scientist

Location: San Jose, CA (Hybrid- 3 Days office a week)

Contract
Exp- 8 years Minimum
Must be local or Nearby

Skills

Mandatory Skills :PySpark-Data Science, Python – Data Science

JD:

A Data Scientist analyzes complex data sets to derive actionable insights and build predictive models This role involves data cleaning statistical analysis machine learning and communicating findings to stakeholders The ideal candidate will have strong programming skills expertise in data visualization excellent analytical abilities and familiarity with clients standards and processes

Key Responsibilities

• Utilize standard libraries and frameworks for data manipulation analysis and modeling
• Conduct statistical analysis to extract insights and identify patterns in large datasets
• Perform data mining techniques to discover actionable insights from structured and unstructured data
• Design and implement statistical models for predictive analytics and forecasting
• Develop and implement machine learning algorithms for predictive modeling and analysis
• Utilize big data technologies such as Hadoop Apache Spark Hive and Snowflake for distributed storage and processing
• Apply natural language processing techniques for text mining and sentiment analysis
• Create data visualizations to communicate findings and insights to stakeholders using tools like Tableau and Matplotlib
• Drive the design development and optimization of AIML frameworks
• Collaborate with crossfunctional teams to understand business needs and translate them into datadriven solutions
• Build and maintain ETL Extract Transform Load processes to ensure data quality and integrity
• Optimize data infrastructure for performance scalability and cost-efficiency
• Automate repetitive data related tasks to enhance efficiency
• Stay updated on AI model interpretability advanced machine learning techniques and domain specific knowledge
• Leverage AI tools and generative AI to automate routine tasks and focus on strategic analysis
• Adhere to clients internal standards policies and processes to ensure compliance and alignment with organizational goals
• Demonstrate awareness of clients data privacy security policies and ethical guidelines in handling data and analytics projects
• Engage with clients collaborative culture and leverage internal resources and frameworks to drive project success

Required Technical Skills

• Programming languages Python including libraries such as Pandas NumPy Scikitlearn TensorFlow R and Scala
• Big data technologies preferred Apache Spark Hadoop Hive Snowflake Azure Databricks
• Natural language processing NLP techniques and tools
• Statistical modeling and predictive analytics
• Experience with cloud platforms and data lakes
• Familiarity with AI ethics responsible AI practices and AI literacy
• Knowledge of prompt engineering and generative AI applications
• Ability to use AI powered tools to enhance productivity and automate data workflows

Desired Attributes

• Curiosity and a problem solving mindset
• Ability to explain complex models in plain English
• A portfolio demonstrating practical experience with realworld data science projects
• Willingness to leverage AI tools to automate routine tasks and focus on strategic analysis
• Strong communication skills to effectively convey insights to nontechnical stakeholders
• Adaptability to evolving AI technologies and continuous learning mindset