Data Scientist at Advanced Heating & Air Conditioning

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

0.0

Posted On

22 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

R, Python, Machine Learning, Random Forest, Neural Networks, Clustering, Apache Spark, TensorFlow, Statistical Analysis, Data Mining, Big Data, Cloud Computing, SQL, Scala, Communication Skills, Data Infrastructure

Industry

Description

About Company: At ADP we use the most comprehensive data in the industry to create workplace insights that help inform products, ideas, and decisions every day. For 75 years, ADP has been building a better world of work. Learn why more than 1,000,000 clients rely on ADP and why we’re always designing for people. asdfasdf utuyt About the Role: As a Data Scientist, you will play a pivotal role in transforming complex data into actionable insights that drive strategic decision-making across the organization. You will design, develop, and implement advanced machine learning models and statistical analyses to solve challenging business problems and uncover hidden patterns. Collaborating closely with cross-functional teams, you will translate business requirements into data-driven solutions that enhance operational efficiency and customer experience. Your expertise will contribute to the continuous improvement of data infrastructure and analytical capabilities, ensuring scalability and robustness. Ultimately, your work will empower stakeholders with predictive insights and data-backed recommendations that support the company’s growth and innovation objectives. Minimum Qualifications: * Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * Proven experience in programming with R and Python for data analysis and model development. * Strong understanding of machine learning algorithms including Random Forest, Neural Networks, and clustering techniques. * Experience with big data technologies such as Apache Spark. * Familiarity with deep learning frameworks like TensorFlow. * Demonstrated ability to perform statistical analysis and interpret complex datasets. Preferred Qualifications: * Master’s or PhD degree in a quantitative discipline. * Experience working in a cloud environment (e.g., AWS, Azure, GCP) for deploying machine learning models. * Knowledge of additional programming languages such as SQL or Scala. * Background in business intelligence or domain-specific expertise relevant to the company’s industry. * Strong communication skills with experience presenting technical concepts to diverse audiences. Responsibilities: * Develop, test, and deploy machine learning models using techniques such as Random Forest, Neural Networks, and Clustering to address business challenges. * Perform statistical analysis and data mining using R and Python to extract meaningful patterns and trends from large datasets. * Collaborate with data engineers to optimize data pipelines and leverage Apache Spark for efficient processing of big data. * Utilize TensorFlow and other deep learning frameworks to build and refine predictive models. * Communicate findings and insights effectively to both technical and non-technical stakeholders through reports and presentations. * Continuously monitor model performance and implement improvements to maintain accuracy and relevance. * Stay current with emerging data science methodologies and tools to incorporate best practices into daily work. Skills: The required skills such as R and Python programming are essential for manipulating data, performing statistical analyses, and building machine learning models on a daily basis. Machine learning techniques including Random Forest, Neural Networks, and Clustering are applied to develop predictive models that solve complex business problems. TensorFlow is used to implement and optimize deep learning architectures, enhancing model accuracy and performance. Apache Spark enables efficient processing and analysis of large-scale datasets, ensuring timely insights. Preferred skills like cloud platform experience and additional programming languages complement the core skill set by facilitating scalable model deployment and integration with broader data ecosystems.

Responsibilities

Develop and deploy machine learning models to address business challenges and perform statistical analysis to extract meaningful patterns from large datasets. Collaborate with data engineers to optimize data pipelines and communicate findings to stakeholders.