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Data Scientist / Data Science Specialist

Dallas, TX, US • Posted 7 hours ago • Updated 7 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

Recruiting
Communication
As-is Process
Debugging
Data Analysis
Reporting
Educate
Decision-making
Analytical Skill
Testing
Marketing
Management
Modeling
Clustering
API
Evaluation
Natural Language Processing
Data Mining
Generalized Linear Model
Regression Analysis
Text Mining
Social Network Analysis
TensorFlow
PyTorch
Machine Learning Operations (ML Ops)
Amazon Lambda
Amazon SageMaker
Jenkins
Databricks
Amazon Web Services
Cloud Computing
Amazon EC2
Amazon S3
Amazon DynamoDB
Amazon RDS
Remote Desktop Services
R
HDFS
JSON
HTML
Analytics
Dashboard
Dash Python
Version Control
Git
Apache Subversion
Writing
SQL
Data Warehouse
Database
Business Intelligence
Visualization
Tableau
Microsoft Power BI
Computer Science
Mathematics
Statistics
Data Science
Python
Machine Learning (ML)
Deep Learning
Apache Hadoop
Apache Hive
Apache Spark
Remote Support

Summary

Adidev Technologies Inc

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URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

JOB RESPONSIBILITIES

Perform exploratory data analysis, data verification, and cleaning, robust & reproducible statistical analysis with comprehensive reporting of results.
Develop novel ways to help business partners achieve objectives through analysis and modeling
Curate and connect external data sets for broad enterprise-wide analytic usage
Be a storyteller to explain the 'why and how' of your data-driven recommendations to cross-functional teams
Utilize machine learning to create repeatable, dynamic, and scalable models
Have a passion to advocate and educate on the value and importance of data-driven decision making and analytical methods
Responsible for implementing robust testing strategies leading to model optimizations, program effectiveness, and attribution of marketing mix elements

REQUIRED SKILLS

Experience designing, managing, developing, and analyzing multiple large complex data models spanning multiple disparate sources
Comfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights
Proficiency in using query languages, such as SQL, Spark Data Frame API, etc. - an advantage
Lead the conception, development, and evaluation of new Deep Learning, Natural Language Processing, and Machine learning products.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience in web technologies and frameworks (TensorFlow, PyTorch, Sci-kit Learn)
Familiarity with MLOps frameworks like MLflow.
Familiarity with SQL.
Some familiarity with AWS Lambda, AWS SageMaker, Jenkins, and Databricks.
Hands-on experience with AWS cloud computing services (IAM, EC2, Lambda, S3, DynamoDB, RDS, CloudFormation) for machine learning applications
Experience with Python and R, comfortable working with DataFrames
Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)
Experience with technologies used to build analytics dashboards/applications, such as RShiny, Dash, and Streamlit
Experience working with version control systems such as Git and SVN
Experience writing complex SQL queries
Understanding data warehousing and databases is critical
Experience with business intelligence/ visualization tools such as Qlik, Tableau or PowerBI

QUALIFICATIONS

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
At least 2 yrs of relevant experience in Data Science
Experience with Python
Experience with machine learning, Deep Learning
Mathematical and statistical background
Experience with Hadoop, Hive, and/or Spark

Benefits
Competitive Salary
Paid Relocation
Remote Support
Guaranteed Regular Salary Reviews
Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Dice Id: 80183261
Position Id: 17e4fb39ce19b9d293cc99205ef36980
Posted 7 hours ago

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