Data Scientist

TEKsystems
$65.00 - $77.00 / hr
sick time, 401(k)
United States, D.C., Washington
Nov 22, 2024
Top Skills' Details Data Scientist Market Surveillance data science team Location preference: Local to DC is preferred but remote candidates will be accepted Strong academic background & good foundational data science skills - Foundational data science skills means the ability to take complex problem and formulating to ML or other framework - 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 to enable them to make informed decisions - Plot with Python in a way that is interactive to tell a story to the business NOT using Tableau or BI tools - looking for Python based experience - Plotly is tool they use Experience working with big data and massive datasets - FINRA's datasets are billions of records large so looking for candidates who have experience parsing through massive datasets (ideally hundreds of millions of records large) - please include the largest dataset the candidate has worked with Strong communication - able to articulate data science concepts to technical and nontechnical stakeholders (example: explain signal processing to someone who has never heard of it before) Tech Stack: - AWS - core AWS services are ideal - most work will be in Sagemaker or Domino - Must have experience with time series data - all data you work with in this role will be time series - Signal processing with time series data - Using Python to create training pipelines and models - writing code for engineers to put into production (not coding applications) - Distributed computing capabilities (Spark) - Data viz with Python plotting to tell a story with data (Plotly) Nice to have skills: - PhD is preferred - FinTech / trading experience is preferred What this team does: Surveilling market data to ensure fair trading - ensuring investor protection and market integrity Working with massive data sets - 400B data points per day - like finding a needle in a forest Your goal will be to find manipulative behavior within trading data There are problems out there that we don't know exist on the market - can you help come up with new ideas to find them? There is new types of manipulative behavior uncovered all of the time. Secondary Skills - Nice to Haves * financial markets Description: Responsibilities: - Apply and develop signal processing techniques to analyze time-series data and extract meaningful features from complex datasets. Utilize expertise in signal processing fundamentals, including time-series analysis, filtering, transforms, and other relevant techniques essential for our work in regulatory surveillance. - Develop, apply, and when necessary, customize advanced machine learning and statistical models for large and complex datasets to identify patterns and detect anomalies. This requires a strong foundation in modeling principles and the ability to develop custom algorithms when needed, while also leveraging and adapting existing Python libraries like Scikit-learn, TensorFlow, and Keras for efficient implementation. - Work with structured and unstructured data from multiple sources to build predictive models using techniques like classification, regression, clustering, time series analysis etc. - Process and analyze streaming/batch data using Spark and related big data technologies. - Design, build and optimize end-to-end model development pipelines including data ingestion, feature engineering, model training/tuning, evaluation and deployment. - Collaborate closely with other data scientists, engineers and product teams on ongoing model monitoring, debugging and retraining. 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 proficiency in SQL. - Strong knowledge of statistics, linear algebra and related math concepts. - Expertise in signal processing techniques like time-series analysis, filtering, transforms etc. - Experience working with Spark, Hadoop and other big data technologies. - Experience designing efficient data structures and algorithms. - Experience with MLOps tools and practices like model versioning, monitoring, A/B testing etc. - Excellent communication and collaboration skills to partner with engineering and product teams. Skills: Python, Data science, Machine learning, MLOps, distributed computing, time series data, sagemaker, Aws, big data, financial markets Top Skills Details: Python, Data science, Machine learning, MLOps, distributed computing, time series data, sagemaker, Aws, big data Additional Skills & Qualifications: Nice to have skills: - Not necessary to have experience in securities industry or finance (but would be preferred) - PhD (strongly preferred) Experience Level: Intermediate Level We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. This temporary role may be eligible for the following: * Medical, dental & vision * 401(k)/Roth * Insurance (Basic/Supplemental Life & AD&D) * Short and long-term disability * Health and Dependent Care Spending Accounts (HAS & DCFSA) * Transportation benefits * Employee Assistance Program * Time off/Leave (PTO, Vacation, or Sick Leave) 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. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.