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Artefact is hiring for an fresher entry level Data Scientist role in US




Position:

  • Data Scientist

  • Entry-level or early-career opportunity

  • Requires a strong foundation in applied mathematics, statistics, and data science techniques

Company:

  • Artefact

  • A data service provider focusing on data consulting and digital marketing

  • Globally recognized for blending AI, business consulting, and analytics

  • Known for cutting-edge solutions, lean methodologies, and impactful results

Location:

  • Hybrid work model

  • Based out of Chelsea District, New York or Century City, Los Angeles

  • Offers flexibility for remote and in-person collaboration

Job type:

  • Full-time position

  • Permanent role with long-term growth potential

  • Offers stability with the flexibility of hybrid engagement

Job mode:

  • Hybrid

  • Collaborative environment combining remote work and office presence

  • Tailored for dynamic project needs and personal flexibility

Job requisition id:

  • Not specified in the original posting

  • Candidates may need to check with the company or job board for a formal ID

Years of experience:

  • Open to candidates with 0 to 3 years of relevant experience

  • Welcomes fresh graduates with the right educational background and skillset


Company description

  • Artefact is a global data services provider that blends deep artificial intelligence expertise with a strong consulting culture

  • Offers a broad spectrum of services ranging from data consulting to marketing analytics

  • Operates with a strong business focus, aiming to create measurable impact for clients

  • Has built a reputation based on delivering value through well-integrated teams of data scientists, engineers, consultants, and digital experts

  • Maintains a presence in over 16 international offices with more than 1,000 employees

  • Strong growth trajectory and ambitious goals to become a leading player in the AI and data transformation space


Profile overview:

  • The role involves end-to-end ownership of data science projects, from feasibility to production

  • Candidates will work on use cases involving machine learning, causal inference, time series, and signal processing

  • The position emphasizes iterative collaboration with stakeholders, from hypothesis development to solution implementation

  • Expected to propose AI/ML approaches tailored to business problems

  • Includes building and validating statistical hypotheses, model development, and production integration

  • Offers significant involvement in shaping product outcomes through data storytelling and visual insights


Qualifications:

  • Master’s degree in Applied Mathematics, Statistics, Data Science, or a related discipline

  • Demonstrated knowledge of machine learning algorithms and statistical modeling

  • Proficiency in Python is strongly preferred; R is also acceptable

  • Experience in building models from scratch and deploying them in production settings

  • Strong communication and collaboration skills are necessary for cross-functional teamwork

  • Familiarity with cloud platforms such as GCP, AWS, or Azure is a bonus, especially Google Cloud Platform

  • Exposure to marketing analytics or e-commerce is preferred

  • Advantageous if the candidate has a focus on causal inference or time series analytics


Additional info:

  • This role combines technical depth with business acumen, offering a platform to grow across both domains

  • Artefact fosters a culture of innovation, collaboration, and entrepreneurship

  • Candidates will join a startup-style team within an established global company

  • Emphasis is placed on building meaningful, impactful solutions that drive business outcomes

  • Offers a salary of $85,000 annually

  • Has the flexibility to engage with both remote and in-person work schedules

  • The team has a startup mentality, encouraging experimentation and rapid iteration

  • Selected candidates will contribute to a high-impact team that works across multiple countries and industries


Please click here to apply.


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