Associate, Data Science (Aladdin Engineering)
NY7 - 50 Hudson Yards, New York
Full Time Mid-level / Intermediate USD 150K - 152K
BlackRock
Seit über 30 Jahren arbeitet BlackRock daran, die Wirtschaft zu stärken und Anlegern zu ihren finanziellen Zielen zu verhelfen.About this role
Company: BlackRock Financial Management, Inc.
Job Title: Associate, Data Science (Aladdin Engineering)
Location: 50 Hudson Yards, New York, NY 10001
Job Duties: Lead end-to-end data science projects with a focus on Machine Learning, including close partnership with business stakeholders, model development, explainability, productionizing and offering deliverables such as an API, lead signal, self-service dashboard or pipeline. Use machine learning techniques to help design forward-looking components on client data in conjunction with capital markets datasets to be consumed for business planning and strategy. Use independent judgement and discretion to build data pipelines and other solutions that are proactively aligned with business needs, strategy, and objectives. Develop a deep understanding of the client and product landscape and serve as a subject matter expert and direct liaison to stakeholders. Work with Engineering and Product teams to implement models and insights in production applications used by sales management, strategy, product etc. Participate in the day-to-day operations and culture of the team, including daily stand-ups, weekly brainstorming, code reviews, demos.
Qualifications: Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field, and three (3) years of experience as an Associate, Analyst, Summer Analyst or related. Must have three (3) years of experience with: mathematical and statistical model and algorithm development; Utilizing NLP techniques to classify unstructured text data into useful features and insights; Writing scalable code, participating in code review and deploying code to production environment; Python, PySpark and SQL for data analysis and modeling; experimental design, including A/B experiments, and statistical methods; performing model and algorithm development using machine learning techniques. Hadoop stack (HIVE, Pig, Hadoop streaming) and Spark.
To apply, please click “Apply” on this webpage.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.Tags: A/B testing APIs Computer Science Data analysis Data pipelines Engineering Finance Hadoop Machine Learning Mathematics ML models NLP Pipelines PySpark Python Spark SQL Statistics Streaming
Perks/benefits: Career development Flex hours Flex vacation Salary bonus
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