Job brief

Full Time United States Computer and Mathematical H1B

DYPROCS is searching a Data Scientist for a USA based employer to join the company as a full-time permanent employee and relocate at the employer's location to the U.S.A.

The ideal candidate will be responsible for developing and implementing a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. This position requires clear communication internally and externally, strong organizational skills, resiliency, and a solution focused mindset!

Responsibilities:

●        Analyze large and complex datasets to identify trends, patterns, and actionable insights.

●        Develop predictive models and machine learning algorithms to solve business problems.

●        Collaborate with stakeholders to define key metrics and establish data-driven strategies.

●        Design and implement data visualizations and dashboards to effectively communicate findings.

●        Conduct experiments and A/B testing to validate hypotheses and optimize processes.

●        Stay current with industry trends and emerging technologies in data science and analytics.

●        Document methodologies and share findings with technical and non-technical audiences.

Proficiency & Skills:

●        Must have 3+ years of work experience in data analysis and modeling.

●        Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.

●        Experience with cloud platforms (e.g., AWS, Azure) for data processing and storage.

●        Knowledge of data warehousing and ETL processes.

●        Certifications in data science or machine learning (e.g., Google Data Analytics, AWS Certified Data Analytics) are advantageous.

●        Proficiency in programming languages such as Python, R, or SQL.

●        Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).

●        Strong understanding of statistical methods and machine learning techniques.

●        Mathematics - Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.

●        Knowledge of safety regulations and best practices.

●        Strong leadership, communication, and interpersonal skills, with the ability to inspire and motivate a diverse team.

●        Soft skills required - strong drive, persistence, consistency, organization, time management, written and verbal communication.

●        Flexible mindset focused on delivering quality deliverables on tight deadlines.

●        Excellent analytical and problem-solving abilities, with a proactive approach to overcoming challenges.

●        Ability to get up to speed quickly on complex issues; desire to work in a fast-paced, rapidly evolving environment.

●        Capable self-starter with a drive to get all types of work done and high attention to detail.

Education:

●        Bachelor’s degree in Data Science, Statistics, Computer Science or related field.

Salary:

●        Will be determined based on the experience & knowledge

Must To:

●        Selected candidate must relocate to U.S.A after completing all U.S.A visa requirements

●        Selected candidate must perform day to day job duties physically.

●        Selected candidate will be given all benefits per the employer’s policy