Data Scientist II

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Manage and conduct data analysis and machine learning methodologies independently. This could involve running experiments, creating models, and interpreting results.

Access data from various sources and prepare it for analysis. Handle cleaning of complex datasets by identifying, addressing, and resolving issues related to quality and integrity.

Create and manage git repositories efficiently. Write clean, efficient, and reusable code adhering to best practices. Proficiency in unit testing, code profiling and cloud computing.

Work collaboratively with the data science team and other stakeholders. Communicate effectively about complex tasks, projects and insights generated from data. Present findings in a comprehensible manner to both technical and non-technical audiences.

Technology Learning Opportunities:
FactSet is committed to invest into Career development of all the Engineers to upskill, or re-skill based on individual interests, Project priorities and offers:

Licenses for learning resources like Pluralsight

Reimbursement of Technology Certification Fees (Azure, AWS or relevant Technologies)

Paid Leave for Certification Exam preparation (In addition to Casual Leaves and Privilege Leaves)

Vibrant Technology Communities that organize Internal programs, technology symposiums, Guest lectures by internal and external experts.

Requirements:

We are seeking a results-oriented person with at least three years of experience full-time Industry work in

Understanding of machine learning techniques and data processing

Proficiency in relevant programming languages (e.g. Python)

Ability to effectively manage git repositories and experience with cloud computing platforms

Expertise in accessing, cleaning, processing, and handling complex data for analysis

Excellent problem-solving skills and ability to design and execute advanced experiments testing hypotheses

Strong communication skills for effectively presenting findings to stakeholders and closely collaborating with team members

Experience with unit testing, code profiling, and object-oriented programming

Ability to work on multiple projects simultaneously and adapt to dynamic work environments

Experience with Big Data platforms like Hadoop or Spark and knowledge of SQL is a plus.

Proficiency with statistical programming and data visualization tools is highly desirable

Continual learning attitude, with a focus on enhancing both technical and soft skills