Fulltime Disney Data Science Jobs in Texas (NOW HIRING)

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) 

Employment Type: FULL_TIME