• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 24th Dec 2024

The ideal candidate for this position should:
•    Bachelor's degree in mathematics, statistics, engineering, or analytics related fields. A graduate degree is preferred but not required.
•    Solid understanding and practical experience in machine learning techniques, including supervised and unsupervised learning. Proficiency in implementing various algorithms to solve business problems.
•    Expertise in statistical models such as regressions, time series analysis, and other predictive modeling techniques to analyze and interpret complex data sets.
•    Proficient in Python, SQL, and libraries like Pandas, NumPy, Matplotlib, and scikit-learn for data analysis, visualization, and machine learning; knowledge of TensorFlow and PyTorch is a plus, and familiarity with PySpark or SparkML would be beneficial..
•    Experience with big data technologies like Hadoop, including the ability to manage and process large datasets in distributed environments.
•    Ability to work effectively under the guidance of senior data scientists, contributing to model development and problem-solving while learning and refining new skills.
•    Strong communication skills, with the ability to clearly present complex findings and insights to team members, both technical and non-technical, ensuring alignment and understanding of project objectives and outcomes.
•    Collaborative mindset, with a willingness to work in a team-oriented environment