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Work with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake, Airflow, AWS Ecosystem) that operates in the cloud to empower predictive modeling services for both internal and external customers.
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Participates as a Senior Data Scientist in the advanced analytics projects undertaken; defining, approving, coordinating, evaluating, and analyzing team performance with responsibility for resolving gaps, conflicts and the day-to-day performance of the team assigned; driving the team toward the desired outcomes of projects.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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ELEVEN (11) + years' experience in data analytics, data science, or engineering. Data Science & Analysis (Digital) Analyzes data and creates research prototypes. An ACTIVE and CURRENT TOP SECRET/SCI federal security clearance with a Full Scope/Lifestyle (FS) polygraph.
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Requisition Number: 6367 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Hours Per Week: 40 Security Clearance: TS/SCI with Poly Level of Experience: Mid SummaryHII is seeking a Data Scientist professional to join our Cyber and Intelligence Team.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) BlueHalo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
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The Data Scientist is a key role in the transformation of business. Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc.
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We're looking for a Data Scientist to help drive impact, starting with our ads platform which connects low-income users to significant financial savings, including government-subsidized discounts they may not be aware of.
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As a Senior Data Scientist, you're at the forefront of our data-driven strategy, guiding our journey with insights and innovation. Sr. Data Scientist. Merkle is a leading data-driven customer experience management (CXM) company that specializes in the delivery of unique, personalized customer experiences across platforms and devices.
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Overview: The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes.
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WSP is currently initiating a search for an Early Career Data Scientist/Developer (SQL & GIS) for our Baltimore office. Development background and in depth experience with SQl, R-Shiny, Python languages PostgreSQL/PostGIS, SQL, MSSQL, Hadoop, or Oracle geodatabase design and data structures.
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5+ years in data scientist, machine learning, or data engineering role. Senior Data Scientist with 5+ years of experience with:1. Maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves.
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The Applied Research Laboratory for Intelligence & Security ( ARLIS ) – a University Affiliated Research Center ( UARC ) under the UMD Vice President of Research ( VPR ) seeks to hire a Natural Language Processing ( NLP ) and Data Scientist.
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Data Scientist/Lead, Innovation Team, Grant Service Specialist III. During the Innovation Team’s research phase, the Data Lead will scope and collect relevant quantitative datasets, conduct desk research, work with the Civic Design Lead to scope and collect relevant qualitative data sets, create effective research partnerships, exchange knowledge with team members, and produce rigorous analyses.
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Experience with big data tools: Hadoop, Hive, PySpark, Apache Spark, MLlib, and GraphX. Proficient in advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial, and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID.
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Title: data scientist in Linthicum Heights, MD
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