1082 IT & Software Developer jobs in the US
Senior Data Scientist - Python, Machine Learning
$130,286 - 160,430
Innovative Object Solutions
Crestwood Drive NW 1751, Washington
$130,286 - 160,430
Requirements
Must:
- Minimum of 4 years of experience in a Data Scientist role or equivalent focusing on machine learning, AI, natural language processing, and big data analytics.
- Strong knowledge of Python, R, SQL, and/or Java for data analysis and model building.
- Practical experience with cloud platforms such as AWS for training and deploying models.
- In-depth familiarity with machine learning frameworks, particularly TensorFlow and Spark MLlib.
- Proficiency in data mining methods, database design principles, and ETL processes utilizing Talend or Bash scripting.
- Acquainted with Hadoop ecosystem components, including HDFS and related big data technologies.
- Understanding of quantum engineering concepts is advantageous for advanced computational modeling tasks.
- Exceptional problem-solving capabilities along with effective communication skills for conveying technical insights across diverse teams.
Responsibilities
- Design, develop, and refine machine learning models using frameworks like TensorFlow, Spark MLlib, and other AI technologies to tackle various business challenges.
- Spearhead data mining initiatives on extensive datasets using SQL, Python, R, Hadoop, and Spark to derive actionable insights.
- Apply unsupervised learning methods for clustering, anomaly detection, and natural language processing to reveal hidden patterns.
- Collaborate with cross-functional teams to determine data needs, develop ETL pipelines with Talend or Bash scripts, and uphold data quality and integrity.
- Deploy models in production settings utilizing AWS cloud services to guarantee scalability and high performance.
- Design and sustain databases following best practices in database architecture to support analytical efforts.
- Effectively communicate intricate technical concepts through dashboards using Looker or similar visualization tools to guide strategic decisions.
Description
At Innovative Object Solutions, we are an advanced information technology consulting and services firm devoted to providing customized software solutions utilizing cutting-edge technologies. Established in 1999, we have been committed to creating secure, scalable, and user-centric enterprise applications for prominent organizations across numerous sectors. We are currently looking for a dedicated and experienced Senior Data Scientist to become a part of our vibrant team. This position offers competitive pay ranging from $130,285.85 to $160,430.27 annually, along with benefits like 401(k), dental insurance, health insurance, and paid time off. Your work will influence innovative data-driven strategies at the forefront of technology.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 1082 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
GE Aerospace, Ekxpert Placement Services, Combat Computers Inc., Meitou Inc., Gatekeeper Systems Inc, Transport-Bourassa, D3 Security Management Systems among others, are currently hiring for Data roles in the United States.
The company with most openings is Kforce Technology Staffing as they are hiring for 73 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Kforce Technology Staffing as they are hiring for 73 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.