Data Scientist
2 weeks ago
Top Skills' Details
Data Scientist
Market Surveillance data science team
Location preference: Local to DC is preferred but remote candidates will be accepted
Key Qualifications:
- Strong academic background & good foundational data science skills
- PhD strongly preferred but not required
- 3-4 years of professional experience post academic (research experience does not count)
- Experience with time series data, strong ML backbone, and signal processing techniques
- Candidates who work hands-on and deliver code
- Signal processing experience is key
- Experience developing and delivering data visualization to provide insights and tell a story to stakeholders
- Plot with Python in an interactive way (not using Tableau or BI tools)
- Experience working with big data and massive datasets (ideally hundreds of millions of records large)
Tech Stack:
- AWS (core services, Sagemaker or Domino)
- Time series data expertise
- Signal processing with time series data
- Python for training pipelines and models
- Distributed computing capabilities (Spark)
- Data visualization with Python (Plotly)
Responsibilities:
- Apply and develop signal processing techniques to analyze time-series data and extract meaningful features.
- Develop, apply, and customize advanced machine learning and statistical models for large datasets.
- Work with structured and unstructured data to build predictive models.
- Process and analyze streaming/batch data using Spark.
- Design, build, and optimize model development pipelines.
- Collaborate with other data scientists, engineers, and product teams.
Requirements:
- MS/PhD in Computer Science, Statistics, Mathematics, or related quantitative field.
- 3+ years of hands-on experience in machine learning, data mining, and predictive modeling.
- Expertise in Python and SQL.
- Strong knowledge of statistics and linear algebra.
- Expertise in signal processing techniques.
- Experience with Spark, Hadoop, and other big data technologies.
- Experience designing efficient data structures and algorithms.
- Excellent communication and collaboration skills.
Nice to Have Skills:
- Experience in the securities industry or finance (preferred)
- PhD (strongly preferred)
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe, and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.
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