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Summary:
We are seeking a Data Scientist to join our consulting team and help clients turn data into actionable insights, predictive models, and scalable analytical solutions. This role blends hands‑on data science with client engagement, problem‑solving, and the ability to translate business questions into measurable outcomes.
Salary: $85,000 – $95,000
Location: Jersey City, NJ
Key Responsibilities
- Partner with clients to understand business challenges, define analytical objectives, and design data‑driven solutions.
- Build predictive models, statistical analyses, and machine learning pipelines using Python, R, or similar tools.
- Perform data exploration, feature engineering, and data quality assessments across diverse datasets.
- Develop dashboards, reports, and visualizations that communicate insights clearly to technical and non‑technical stakeholders.
- Deploy models into production environments and support ongoing monitoring, retraining, and optimization.
- Work with cloud platforms (AWS, Azure, GCP) to build scalable data and ML solutions.
- Present findings, recommendations, and technical deliverables to client teams and executives.
- Collaborate with data engineers, analysts, and project managers to deliver end‑to‑end solutions.
- Document methodologies, assumptions, and results for internal and client use.
- Strong proficiency in Python (Pandas, NumPy, Scikit‑learn, PyTorch, TensorFlow) or R.
- Experience with machine learning, statistical modeling, and applied analytics.
- Solid understanding of SQL and relational databases; familiarity with NoSQL is a plus.
- Experience working with cloud environments and ML services (SageMaker, Azure ML, Vertex AI).
- Ability to work in a consulting environment: managing multiple projects, communicating clearly, and adapting to evolving client needs.
- Experience with MLOps tools and practices (MLflow, Airflow, Docker, CI/CD).
- Background in technical consulting, management consulting, or client‑facing analytics roles.
- Familiarity with big data technologies (Spark, Databricks, Hadoop).
- Experience in specific industries such as finance, healthcare, retail, or manufacturing.
- Unlimited paid time off
- Healthcare benefits
- Dental benefits
- Vision benefits
- Disability insurance
- Life insurance benefits
- Retirement benefits, including 401(k) and a potential company match.
- Parental leave for both birthing (up to 14 weeks of paid leave) and non-birthing parents (up to 4 weeks paid leave), as well as adoption leave (up to 8 weeks of paid leave), subject to qualifications
- Child hospitalization leave (up to 15 paid calendar days per year), subject to qualifications
- “Be kind to yourself day” on your anniversary (subject to terms and conditions)
- Graduation and birthing gifts, subject to eligibility
- Paid Jury duty (up to 4 weeks a year), subject to eligibility
- Paid moving days (up to 2 days a year), subject to eligibility
- Approximately 12 paid company holidays a year
If you require accommodation, please contact the recruiting team
Applicant Privacy:
Globant will collect and process your information as part of this application. For more information, review Globant’s Privacy Policy.
Equal Employment Opportunity:
Globant is an equal opportunity and affirmative action employer. We are committed to building a workforce representative of the users we serve, fostering a culture of belonging, and providing equal employment opportunity regardless of any basis protected by law.
Use of AI in Recruitment:
Globant may use AI and machine‑learning technologies in the recruitment process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected characteristic. Globant is committed to providing reasonable accommodations for qualified individuals with disabilities.
Remote Work:
Remote work permissibility may change based on business needs. For questions regarding work locations, speak directly with your hiring partner.
