Data Scientist Lead

Job Responsibilities

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Other Job Responsibilities

Minimum Qualifications

• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.
• Expertise in scripting programming languages, including Python
• Expertise in hands on data manipulation, preferably in Python and SQL
• Expertise in Image Processing with Deep Learning and Machine Learning
• Proficiency in TensorFlow and or Pytorch model development and training
• Expertise in Time Series analysis (Prediction, Forecasting)
• Expertise in applying statistical techniques to large as well as smaller data sets and Build Model for Application
• Write Clean, efficient and maintainable code with logging and unit testing following OOPs principles that meets project requirement and industry best practices
• Ability to communicate and publish results, including dashboards and graphical representations (plotly, dash, matplotlib, etc)
• Knowledge on application containerization (dockers)
• Strong analytical, problem solving and troubleshooting skills
• Excellent verbal and written communication skills
• Commitment to acquire domain knowledge and stay updated on data science techniques and industry best practices.

Preferred Qualifications

• Familiarity with Nvidia GPU and CUDA programming, as well as TensorRT (eg. Nvidia Jetson, Orin etc)
• Familiarity with python APIs like flask, fast-api etc
• Basics of multi-threading and multiprocessing
• Experience with Confluence, Git, Bitbucket, Jira, Maven, Jenkins,Agile, Scrum, MLOps
• Experience in Linux System Administration
• Experience in Linux and bash scripting in desirable skills
• Knowledge on Multimedia frameworks such as ffmpeg, gstreamer, etc
• Knowledge on ETL Pipeline of Data Mining from Big Data Hadoop Ecosystem Platform using Java Spark and Kafka will be a plus
• Knowledge in computer system architecture, including process, memory, storage and networking management
• Experience in the semiconductor equipment manufacturing industry

Our Commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research (“Lam” or the “Company”) is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company’s intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.