Associate Data Scientist

hace 1 semana

Mexico City Cotiviti A tiempo completo

Overview

We are seeking a highly motivated and detail-oriented Associate Data Scientist to join our innovative team. This entry-level role is ideal for recent graduates or individuals with limited experience in data science but with a strong passion for data and a keen interest in the healthcare industry. The Associate Data Scientist will work under the guidance of senior team members to support the development and deployment of data-driven solutions. If you are passionate about data and eager to solve complex problems, we encourage you to apply.

Responsibilities

Data Collection and Cleaning:

Assist in collecting data from various sources, including databases, web scraping, and public datasets. Clean and preprocess data to ensure quality and usability for analysis.

Data Analysis:

Perform exploratory data analysis (EDA) to identify patterns, trends, and insights. Apply basic statistical methods to analyze data and generate preliminary reports.

Model Building:

Support the development of machine learning models to solve business problems. Assist in evaluating model performance and making improvements.

Feature Engineering and Deployment:

Contribute to feature identification and testing, implementing feedback loops to refine models. Assist in preparing models for deployment, working closely with production operations to monitor performance.

Data Visualization:

Create visualizations and reports to effectively communicate data insights to stakeholders using tools like Matplotlib, Seaborn, Tableau, etc.

Collaboration:

Work closely with cross-functional teams, including data engineers, business analysts, and other stakeholders. Participate in team meetings and contribute to data-driven solutions.

Documentation:

Document data processes, models, and analyses, ensuring reproducibility and knowledge sharing.

Customer Engagement:

Assist in engaging with customers to identify opportunities for integrating data insights into their decision-making processes.

Best Practices:

Learn and share best practices in structured problem-solving and data analysis. Complete all responsibilities as outlined in the annual performance review and/or goal setting. Required Complete all special projects and other duties as assigned. Required

It is expressly understood that the aforementioned obligations and responsibilities are not exhaustively stated, so that the Employee must comply with all other functions, obligations and responsibilities, limitations or instructions of the Company that derive from everything related to his main activities and without additional compensation since the Employee's salary already includes any compensation required. This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required.

Qualifications

Education:

Bachelor’s degree in a relevant field (., Data Science, Computer Science, Statistics, Mathematics, Engineering).

Technical Skills:

Proficient in programming languages such as Python. Experience with SQL for database querying. Experience with machine learning libraries (., Scikit-Learn, TensorFlow, PyTorch) and data visualization tools and libraries (., Matplotlib, Seaborn, Tableau, .

Analytical Skills:

Strong problem-solving skills and the ability to think analytically. Understanding of statistical methods and their applications.

Communication Skills:

Ability to communicate complex data findings in a clear and concise manner. Good written and verbal communication skills. Fully bilingual in English and Spanish (written and verbal).

Soft Skills:

Attention to detail and a commitment to accuracy. Ability to work both independently and as part of a team. Curiosity and a willingness to learn and adapt to new technologies and methods.

Minimum Experience:

1-2 years of experience in data science or related fields, with internships or academic projects considered.

Preferred Qualifications:

Internship or project experience in data science or related fields. Familiarity with big data technologies like Hadoop or Spark is a plus. Familiarity with version control systems like Git. Familiarity with JIRA or other product management tools is a plus. Proficient in Microsoft Office (PowerPoint, Excel, Word).
Cotiviti is an equal employment opportunity employer. Cotiviti recruits, hires and promotes individuals based on their qualifications for a specific job. Cotiviti values its diverse workforce and its selection of employees is made without regard to race, color, creed, sex, age, religion, pregnancy, childbirth or pregnancy-related conditions, national origin, sexual orientation, marital status, genetic carrier status, military service, veteran status, disability, or any other category of class protected by federal, state or local laws. All employment decisions and personnel actions, such as hiring, promotion, compensation, benefits, and termination, are and will continue to be administered in accordance with, and to further the principle of, equal employment opportunity.

Pay Transparency Nondiscrimination Provision
Cotiviti will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-I.35(c)

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