This position is posted by Jobgether on behalf of a partner company. We are currently looking for a
Data Scientist 3
in
India
.We are seeking a highly skilled Data Scientist to lead complex analytical projects and drive data-driven decision-making across the organization. In this role, you will manage the full data science lifecycle, from data acquisition and preparation to model development, deployment, and performance monitoring. You will leverage advanced machine learning, deep learning, and generative AI techniques to solve challenging problems and deliver impactful solutions. This role requires collaboration with cross-functional teams, including product managers, engineers, and analysts, to translate business needs into scalable, production-ready AI/ML solutions. The ideal candidate thrives in a remote, innovative environment, continuously exploring new tools, frameworks, and approaches to elevate the organization’s data capabilities. Your work will directly influence strategic initiatives and help shape the future of AI-driven decision-making.
Accountabilities
- Lead the end-to-end data science lifecycle, including data acquisition, preprocessing, model development, deployment, and monitoring.
- Design and implement advanced machine learning, deep learning, and generative AI models for applications such as recommendation systems, anomaly detection, and predictive analytics.
- Develop and maintain robust data pipelines and workflows for efficient model training, evaluation, and deployment.
- Collaborate with cross-functional teams to translate business requirements into effective data-driven solutions.
- Monitor model performance, conduct evaluations, and implement improvements to maintain accuracy, efficiency, and reliability.
- Stay up-to-date with emerging AI/ML techniques and industry best practices to continuously enhance data science capabilities.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 7–9 years of experience in data science, machine learning, or a related field.
- Strong proficiency in Python and experience with relevant libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, and Matplotlib.
- Hands-on experience building production-ready AI/ML solutions and deploying models to cloud environments (AWS preferred).
- Expertise in advanced machine learning, deep learning, and generative AI techniques.
- Strong analytical, problem-solving, and leadership skills.
- Excellent communication and collaboration abilities, capable of conveying complex concepts to diverse audiences.
- Familiarity with big data technologies and scalable data processing is a plus.
Benefits
- Competitive salary with performance-based bonuses.
- Flexible work arrangements and remote-first environment.
- Paid time off and company-wide wellbeing days.
- Health insurance coverage for you and your family, plus on-demand mental health support.
- Fitness reimbursement and wellness programs.
- Paid parental leave for both birthing and non-birthing parents.
- Pension plan with employer contributions.
- Access to online learning platforms and professional development opportunities.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
