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: Title: Data Scientist || Location: 100% Remote || Visa: USC and GC (Let me know which visa do you have) at Remote, Remote, USA
Email: [email protected]
Hi,

Hope you are doing great! Please find the requirement below , If you find yourself comfortable with the requirement please reply back with your updated resume and I will get back to you or I would really
appreciate if you can give me a call back at my contact number 302-485-1712

Title: Data Scientist

Location: 100% Remote

Visa: USC and GC (Let me know which visa do you have)

Duration: 12+ Months

Interview: Phone and Video

LinkedIn(Make sure consultant LinkedIn match with Resume), SSN, DOB

PHD is not required MS is fine. MUST have 2+ years of work experience

Project Scope and Brief Description:

We are seeking an exceptional Data Scientist to work on Project Pathfinder. The successful candidate will have a passion for business impact. Technically, they will be involved in the full modeling lifecycle,
from building data models and pipelines, developing models, implementing metrics, and performing residual analysis to guide model improvements. They will join a high performing technical team focused on delivering high impact work, with team-wide best practices
(e.g. clean code, reproducible/transferrable work, git, etc.) and effective levels of communication. 

Responsibilities:

Create data pipelines as needed

Combine machine learning, heuristics, and business rules to build models that solve business problems

Write code for reproducible and reusable model metric measures

Perform exploratory data analysis (eda) and residual analysis to identify areas of improvement for modeling efforts

Qualifications: 

Experience building models that solve business problems

Experience independently answering business and related analytics questions with interpretable and direct quantitative approaches. 

Experience in using Python for analysis, including the use of common libraries (pandas, numpy, scipy, matplotlib, seaborn, etc.), creating and sharing jupyter notebooks,
and building reusable functions and scripts. 

Fluency in using SQL for common data access, transformations, and aggregations. 

Ph.D. or M.S. in Statistics, Data Science, Computer Science, Physics, Engineering, Operations Research, or related scientific discipline. 

Focus will be on seed placement domain - Bridging the gap between research team and product development team for Seed Placement / Recommendations. What exactly does this mean Corteva is working towards
identifying the best seed for a particular soil type and growing region, that then will produce the best yield - ultimately creating a win-win for both Corteva and the farmers that purchase this seed. In the future, they will also work at identifying the best
crop protection products that are best suited for the seed & soil type.

Be the bridge between teams (Research teams who are rich in domain knowledge, less tech/data science; & Direct Business Product facing Product Dev (PD)) and help to build recommendations in product experience
systems / model on Applied Data Science team to improve predictions. This is NOT new, novel research. Rather improvement in existing models.

MUST have strong communication and ability to translate technical components into non-technical terms.

Ability to tell a story about what's happening with a data model, why, and ability to reinforce the decision or pivot. 

This leader will look for strength + passion in problem solving, finding an answer using a toolkit/statistical tools; problem solver and guiding solutioning for next model. For
example, if they find Model X is not right for a group of users, investigate another solution - where is it not perfect, be able to tell the story why; SME - Hypothesis forming.

Does not need to have Ag experience. Always helpful, but not necessary to be considered. 

PHD is not required MS is fine. MUST have 2+ years of work experience

Self-starter confidence reach out for help when needed but be able to work independently

MUST be strong in SQL, Python, Pandas, and strong clean coding practices - checking for errors, duplicates, 1:many ratios, etc.

Ideally they have some stats background

NOT looking for someone who just wants to run and tune data models - this role will be full stack, finding data sources, normalizing, running analysis on the model and telling
a story about it. May partner with someone else on the team too.  

Thanks And Regards

Khokan Kaviraj

Phone: 302-485-1712

Email:

[email protected]

Hangout:

[email protected]

Linked In:

https://www.linkedin.com/in/khokan-kaviraj-582655166/

Accroid Inc.

1007 Orange ST 4th FL 1651 Wilmington, DE 19801

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Keywords: information technology green card microsoft Delaware Florida
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Tue Mar 05 02:33:00 UTC 2024

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