Job Opening- ML Data Scientist- 12 +

Job Description

Title: ML Data Scientist- 12 +

Only W2 or 1099 (NO C2C)

Location: work from office for 6 months (Columbus, OH)- Locals or within 80-90 miles who can relocate

Must be green card holder only

F2F interview – make sure to send only genuine locals

6 month contract to hire…must covert at 6 months

Candidates needs to share live location on whatsapp

Key Responsibilities

Serve as a strong data storyteller, clearly communicating insights and recommendations.
Mine and extract usable data from valuable data sources.
Use machine learning tools to select features and create and optimize classifiers.
Preprocess structured and unstructured data.
Enhance data collection procedures to capture information needed for analytical systems.
Process, cleanse, and validate data integrity for analysis.
Analyze large volumes of information to identify patterns and solutions.
Develop prediction systems and machine learning algorithms.
Present results clearly to technical and non-technical audiences.
Propose solutions and strategies to address business challenges.
Collaborate closely with Business and IT teams.
Build actionable data visualizations that identify opportunities and support excellence at scale.
Work effectively with stakeholders across multiple organizations.
Facilitate discussions with Business Owners and stakeholders to understand problems, iterate on solutions, and present findings.
Promote a data-driven culture of continuous improvement and help identify, analyze, and implement improvement opportunities.
Maintain a high degree of confidentiality when working with sensitive information.
Maintain regular, predictable, and consistent attendance and remain flexible to meet departmental needs.
Follow applicable Medicare, Medicaid, HIPAA, Private Insurance, and organizational policies, procedures, and standards.

Desired Outcomes

Successfully mine, interpret, and clean data to uncover hidden opportunities and maximize the value of data.
Develop and optimize machine learning classifiers and prediction systems.
Enhance data collection procedures and ensure the integrity of data used for analysis.
Collaborate with Business and IT teams to develop solutions and strategies for business challenges.
Facilitate conversations with Business Owners and stakeholders to understand problems and present findings and solutions.
Demonstrate a strong commitment to execution and achieving measurable results.

Qualifications & Competencies

Bachelor’s degree (BA/BS) in Information Systems or equivalent combination of education and experience.
5+ years of data and analytics experience.
Programming experience with statistical languages such as R and Python.
Experience with database/query languages such as SQL, Hive, or Pig is desirable.
Familiarity with Scala, Java, or C++ is an advantage.
Strong applied statistics skills, including statistical tests, distributions, regression, and maximum likelihood estimation.
Strong knowledge of machine learning methods such as k-Nearest Neighbors, Naive Bayes, Support Vector Machines (SVM), and Decision Forests.
Strong mathematical foundation in multivariable calculus and linear algebra.
Proficiency in data wrangling and handling imperfect datasets.
Experience with data visualization tools such as Matplotlib, ggplot, D3.js, Power BI, or Tableau.
Excellent communication skills with the ability to explain findings to technical and non-technical audiences.
Strong software engineering background and hands-on experience with data science tools.
Strong problem-solving aptitude, analytical thinking, and business sense.
Results-oriented approach with a demonstrated commitment to getting the job done.

Key Stakeholders

Data Analytics, Operations, Marketing, Business Owners, and IT teams.

Core Values

Certainty: Deliver what you commit to. Build collaborative teams based on trust and transparency.

Compassion: Keep the patient at the center of business decisions and pursue customer satisfaction.

Advancement: Encourage innovation, facilitate change, and drive cross-functional alignment.

Kind Regards,

Deep Patel

Sr. Technical Recruiter

ZealHire Inc.

Email: Deep@zealhire.com

14 Wall Street 20th Floor | New York, NY 10005