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Selected role

Data Scientist / Data Science Specialist

Adidev Technologies Inc Dallas, TX, US

Senior Full-time

*Adidev Technologies Inc

www.adidevtechnologies.com

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)

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