This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist in India.
In this role, you will transform complex datasets into actionable insights that directly impact business strategies and decisions. You will design, implement, and maintain advanced analytical models and machine learning algorithms, supporting marketing, product, and operational teams. Collaborating closely with cross-functional teams, you will own the end-to-end data science lifecycle, from data exploration and feature engineering to model deployment and insight communication. This role offers the opportunity to shape predictive analytics and experimental design practices, influence data-driven decision-making, and drive measurable business growth in a fast-paced, collaborative environment. You will work remotely while engaging with global teams to deliver high-impact solutions.
- Accountabilities:
- Conduct advanced data analysis and statistical modeling to extract actionable insights.
- Develop and implement predictive models for customer segmentation, churn prediction, lifetime value, and propensity scoring.
- Design, optimize, and deploy machine learning algorithms to solve complex business problems.
- Plan, execute, and analyze experiments such as A/B tests to evaluate initiative impacts.
- Clean, preprocess, and engineer features from raw data for model training and analysis.
- Collaborate with marketing, engineering, and data engineering teams to integrate data science solutions.
- Build robust data transformation pipelines and structured datasets for analytics.
- Document methodologies, assumptions, and results to ensure reproducibility and transparency.
- Research and apply new data science techniques and tools to enhance analytical capabilities.
- Develop marketing attribution models and translate model outputs into actionable strategies.
- Requirements:
- 5+ years of professional experience in data science, analytics, or a related field.
- Bachelor’s degree in Data Science, Statistics, Marketing Analytics, or related technical discipline.
- Proficiency in Python or R for data analysis and model development.
- Strong experience with data science libraries such as Pandas, NumPy, and scikit-learn.
- Expertise in machine learning algorithms and statistical analysis.
- Proficient in SQL and database management for data querying and manipulation.
- Skilled in data wrangling, feature engineering, and data visualization (Matplotlib, Seaborn, or BI tools).
- Solid understanding of experimental design, including A/B testing.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Strong analytical, problem-solving, and communication skills, with the ability to convey complex insights clearly.
- Marketing domain knowledge and business acumen to contextualize analyses.
- Ability to collaborate effectively with cross-functional teams and manage multiple projects.
- Experience with Salesforce data and Customer Data Platforms (CDPs) is a plus.
- Benefits:
- Remote work flexibility with a collaborative, global team environment.
- Competitive salary and performance-based incentives.
- Opportunities for professional growth, skill development, and career progression.
- Exposure to cutting-edge data science tools, methodologies, and platforms.
- Collaborative, inclusive, and innovative work culture.
- Involvement in impactful projects that influence business strategy and product development.
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!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.
