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Klaviyo
Boston, MA, United States
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the
Job Source: KlaviyoHour Consulting
Burlington, MA, United States
Our client is an established growing part of the Higher Education technology industry. They are a Global SaaS Company with over 300 campus partners and 2 million students actively using their platform. They help higher education institutions better engage their students, improve the student life experience on campus, and student success. They are c
Job Source: Hour ConsultingDraftKings
Waltham, MA, United States
As a Senior Data Science Engineer (Personalization) at DraftKings, you will leverage your expertise in data science and analytics to drive impactful projects to create the most relevant product in the Sportsbook industry. Your work will be critical to deeply integrate our data science-powered understanding of the customer within our content engine
Job Source: DraftKingsDraftKings
Braintree, MA, United States
We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges o
Job Source: DraftKingsDraftKings
Boston, MA, United States
Senior Data Science Engineer (Personalization) As a Senior Data Science Engineer (Personalization) at DraftKings, you will leverage your expertise in data science and analytics to drive impactful projects to create the most relevant product in the Sportsbook industry. Your work will be critical to deeply integrate our data science-powered understa
Job Source: DraftKingsDraftKings
Boston, MA
We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges o
Job Source: DraftKingsDraftKings
Danvers, MA, United States
We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges o
Job Source: DraftKingsDraftKings
Dedham, MA, United States
We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges o
Job Source: DraftKingsBoston, MA, United States
Job Title: Data Science Engineer
Location: Boston, MA - 4 days to office.
Job Description:
We are seeking a talented Data Science Engineer to join our team and contribute to the development and implementation of advanced data solutions using technologies such as AWS Glue, Python, Spark, Snowflake Data Lake, S3, SageMaker, and machine learning (M/L).
As a Data Science Engineer, you will play a crucial role in designing, building, and optimizing data pipelines, machine learning models, and analytics solutions. You will work closely with cross-functional teams to extract actionable insights from data and drive business outcomes.
Key Responsibilities:
Develop and maintain ETL pipelines using AWS Glue for data ingestion, transformation, and integration from various sources.
Utilize Python and Spark for data preprocessing, feature engineering, and model development.
Design and implement data lake architecture using Snowflake Data Lake, Snowflake data warehouse and S3 for scalable and efficient storage and processing of structured and unstructured data.
Leverage SageMaker for model training, evaluation, deployment, and monitoring in production environments.
Collaborate with data scientists, analysts, and business stakeholders to understand requirements, develop predictive models, and generate actionable insights.
Conduct exploratory data analysis (EDA) and data visualization to communicate findings and trends effectively.
Stay updated with advancements in machine learning algorithms, techniques, and best practices to enhance model performance and accuracy.
Ensure data quality, integrity, and security throughout the data lifecycle by implementing robust data governance and compliance measures.
Qualifications: Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related field.
Proficiency in AWS services such as Glue, S3, SageMaker, and Snowflake Data Lake with 5-6 years of experience.
Strong programming skills in Python for data manipulation, analysis, and modeling.
Experience with distributed computing frameworks like Spark for big data processing.
Knowledge of machine learning concepts, algorithms, and tools for regression, classification, clustering, and recommendation systems.
Familiarity with data visualization tools with Tableau for creating meaningful visualizations.
Excellent problem-solving, analytical thinking, and communication skills.
Ability to work collaboratively in a team environment and manage multiple priorities effectively.
Experience deploying machine-learning models in production environments and monitoring their performance.
Knowledge of MLOps practices, model versioning, and automated model deployment pipelines.
Familiarity with SQL, NoSQL databases, and data warehousing concepts.
Strong understanding of cloud computing principles and architectures.
Certifications in AWS, Python, Spark, or related technologies.
Email Alert for Data Science Engineer jobs in Boston, MA, United States
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