Sr. Data Scientist

New York City, United States

Blend360

Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.

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Company Description

BLEND360 is an award-winning, new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500 clients. We are a growing company—born at the intersection of advanced analytics, data, and technology.

Job Description

We are currently looking for a Senior Data Scientist to join our client’s Data and Analytics business unit. We are looking for someone who can understand the client’s data analysis & sourcing needs, who has experience designing and building enterprise data assets and essentially helping the team build data pipelines using Next-Gen tools & new capabilities.

*This role is not open to sponsorships, C2C, 1099, or third-party vendors/agencies.*

The Details:

  • Duration: 9+ month contract role
  • Remote: EST
  • Benefits:  We offer benefits to our full-time consultants, including Health, Vision, Dental, 401K plan, Life Insurance, Pretax Commuter Benefits, and an incredibly supportive team cheering you on!

What you will do:

  • Design, develop and implement predictive models using advanced data science concepts (e.g., regression modeling, time series forecasting, classification, data clustering, deep learning)
  • Utilize data mining techniques to extract insights from internal data sources to interpret model impact and goals.
  • Analyze patient outreach and journey data to help develop benchmarks, optimization strategies and develop analytics solutions.
  • Develop and participate in presentations and consultations to existing and prospective constituents within the business, technology and operational counterparts on new insights and analytics results.
  • Collaborate with large teams on code development, including developer-friendly Python packages to make data-science oriented functionalities accessible to the organization.
  • Develop scalable source code, write tests, and participate in overall architecture discussions to create scalable products and functionalities.
  • Explore the possibility of migrating models to Google Cloud Platform (GCP), specifically leveraging BigQuery for data storage and VertexAI for modeling, demonstrating adaptability and familiarity with cloud-based data solutions.
  • Apply standard Data Science Techniques such as Regression, Classification Modeling, Segmentation, and Time Series Analysis to extract insights and patterns from data, contributing to informed decision-making processes.
  • Collaborate closely with cross-functional teams to understand business requirements, translate them into data-driven solutions, and effectively communicate findings and recommendations to stakeholders.
  • Stay updated with the latest advancements and best practices in data science and machine learning, continuously enhancing skills and knowledge to drive innovation and excellence in data-driven initiatives.
  • Contribute to the development and implementation of data science strategies and methodologies, ensuring alignment with organizational goals and objectives.
  • Take ownership of end-to-end data science projects, from data exploration and feature engineering to model development, evaluation, and deployment, ensuring high-quality deliverables within specified timelines.
  • Actively participate in code reviews, knowledge sharing sessions, and mentorship activities to foster a culture of collaboration, learning, and continuous improvement within the data science team.

Qualifications

What you have:

  • BS degree in Computer Science, Engineering, Statistics, or another quantitative field.
  • Demonstration of strong proficiency in SQL and Python for data manipulation, analysis, and model development, ensuring efficient data processing and algorithm implementation.
  • Experience using Azure and Databricks extensively for data analysis, model development, and deployment, with proficiency in these platforms considered a required skillset.
  • Specializes in classification techniques, particularly XGBoost, to develop accurate and robust classification models, showcasing expertise in advanced machine learning algorithms.

Additional Information

The starting pay range for this role is $40-$45 per hour. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.    

A diverse workforce is a strong workforce  
To deliver growth at BLEND360 and for our clients, we believe as a Talent Solutions Company, we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success.  We are determined to have equality in the workplace, within our team and as an extension of our clients’ team.   

This is not the work of the moment, and this requires continued learning and purposeful actions.  We are investing resources to understand and improve the sourcing, selection, and retention of the talent we hire, and ultimately the workforce we provide for our clients. We will communicate our journey in the spirit of transparency and shared learning.  

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Tags: Architecture Azure BigQuery Classification Clustering Computer Science Data analysis Databricks Data Mining Data pipelines Deep Learning Engineering Feature engineering GCP Google Cloud Machine Learning ML models Pipelines Python SQL Statistics XGBoost

Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance Startup environment Team events Transparency

Region: North America
Country: United States
Job stats:  4  1  0
Category: Data Science Jobs

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