Jr Data Scientist Must Be Local Indianapolis

Hello,

Zenosys is looking Data Scientist client Indianapolis IN If you are available and interested in the below opportunity, please send me updated resume. Thanks

Job Title Data Scientist

Location- Indianapolis IN (Remote)

Duration 12+ Months Contracts Highly Chance to Extend

If you are interested, please provide the following details along with the updated resume to speed up the interview process.

Full Legal Name as mentioned in Drivers' license:

Current Location:

Willing to relocate to the specified work location:

Currently on a project or actively looking:

Availability for interview:

Availability to join the project:

Date of Birth (Month/Date):

Visa Status:

Since how long the candidate has been in US

Need Education details with University Name, Location & Passing year in resume.:

LinkedIn address

*4+ years of experience and passion for leveraging data to drive significant organizational impact.
*Considerable knowledge using computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation
*Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks

Job Description

We are looking for a Data Scientist to plays a key role by creating in-depth analyses by leveraging data science techniques, methods, and interpretations to convey accurate, meaningful insights that empower the organization. This position will be full-time and remote.

What You'll Do

• Provides mentoring and guidance to other, more junior Data Scientists and staff
• Support the development of internal web applications or interactive tools that help operationalize and deliver data science products across the organization
• Acts as mentor and DS SME for other more junior DS users across the state and key external stakeholders
• Engages with key business stakeholders on large projects and initiatives to understand their analytical and operational challenges and translate these needs into data solutions
• Assesses the structure, content, and quality of the data through examination of source systems and data samples
• Collaborates with other DS professionals, data engineers, and BI professionals around data/table structures to optimize architecture, ETL procedures, dashboards, and other self-service needs
• Prioritizes requirements and create rapid prototypes and minimally viable products for end users
• Looks for opportunities to improve current processes or find efficiencies by applying industry best practices as a DS professional
• Mines and analyzes data from state databases to drive insights into problems and efficiency in processes while maintaining the standards of organizational excellence
• Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation, to data mining, to more complex statistical methodologies
• Uses and monitors the input for code repositories like GitHub for code version control
• Provides end user education for interpretation of business data
• Tests and evaluates data solutions as it relates to upgrades to existing software
• Provides maintenance and support for existing data solutions for the agency
• Documents and communicates technical specifications to ensure that proper techniques and standards are incorporated into deliverables and understood by the end users

What You'll Need

Required:

• A Bachelor s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience and passion for leveraging data to drive significant organizational impact, or
• a Master s Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics, or
• 4+ years of experience and passion for leveraging data to drive significant organizational impact.
• Considerable knowledge using computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation
• Broad knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
• Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks
• Strong understanding of relational and dimensional databases, theories, principles, and practices
• Exceptional analytical, conceptual, and problem-solving abilities
• Must inhabit strategic thinking
• Strong written/oral communication and presentation skills
• Resourceful self-starter and highly motivated team player
• Able to perform well in a fast-paced environment
• Experience with data manipulation to include cleansing, standardizing, and transforming.
• Experience generating and distributing visualizations to a broad range of audiences
• Effective communicator and someone who enjoys getting to understand nuances of a problem
• Proficiency using frameworks such as Shiny, Dash, Flask, or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications

If interested Please send me your resume at

Thanks,
HemendraKalal,
Ph: (O)
Sr. Technical Recruiter,
Fax:
Zenosys Consulting,
Web: