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About careerzynith – Pioneering Health & Wellness Innovation
At careerzynith, we are on a mission to transform the way people experience health and wellness. Our purpose is simple yet powerful: to bring our heart to every moment of your wellbeing. This purpose drives our commitment to deliver advanced, human‑centric health services in a rapidly evolving world. With a brand built on compassion, integrity, and innovation, careerzynith blends cutting‑edge technology with genuine care to make health services more accessible, affordable, and personalized.
Why Join careerzynith?
Our Heart at Work Behaviors empower every employee to feel the impact of their work on millions of lives. As a member of the careerzynith Media Exchange (AME) team, you will be part of a collaborative ecosystem that fuels data‑driven decision making for advertisers, retailers, brand partners, and internal stakeholders. You’ll help shape the future of health‑focused media, leveraging AI, advanced analytics, and predictive modeling to drive measurable outcomes.
Position Overview
We are seeking a highly motivated Senior Data Scientist to join the careerzynith Media Exchange analytics group. This role offers a unique blend of research, experimentation, causal inference, and strategic thinking to develop sophisticated, data‑powered products that enhance customer engagement and conversion across both offline and online channels.
Key Responsibilities
- Design, develop, and deploy predictive models that address both demand forecasting and churn mitigation challenges.
- Collaborate with cross‑functional teams—including product, marketing, and engineering—to translate business problems into analytical solutions.
- Analyze large, structured and unstructured data sets using modern statistical techniques, machine learning, and AI methodologies.
- Lead the creation of measurement frameworks, including Marketing Mix Modeling (MMM) and advanced attribution models, to evaluate campaign effectiveness.
- Develop and maintain robust data pipelines, ensuring data quality, integrity, and scalability for large‑volume analytics.
- Present findings and strategic recommendations to both technical and non‑technical audiences, tailoring communication to senior leadership, product owners, and external partners.
- Mentor junior analysts and data scientists, fostering a culture of continuous learning and knowledge sharing.
- Stay abreast of emerging trends in AI, machine learning, and data engineering to continuously improve analytical capabilities.
Essential Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Business Analytics, Engineering, or a related quantitative field. A Master’s or Ph.D. is highly preferred.
- Experience: Minimum 3 years of hands‑on experience building predictive models using modern AI/ML techniques for demand forecasting, churn prediction, or similar domains.
- Technical Skills: Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL; experience with data visualization tools (Tableau, Power BI, Looker) is a plus.
- Data Manipulation: Demonstrated ability to clean, transform, and prepare large data sets for analysis, including feature engineering and data augmentation.
- Statistical Expertise: Strong foundation in statistical inference, causal modeling, experimental design, and hypothesis testing.
- Communication: Ability to convey complex analytical concepts to diverse audiences, both verbally and in written reports.
- Collaboration: Proven track record of working effectively with cross‑functional teams and external partners.
Preferred Qualifications & Skills
- Experience designing and executing online experiments (A/B testing, multivariate testing).
- Deep knowledge of Marketing Mix Modeling, attribution modeling, and media effectiveness measurement.
- Familiarity with cloud platforms (AWS, GCP, Azure) and big‑data technologies (Spark, Hadoop, Snowflake).
- Strong programming abilities for data extraction, transformation, and analysis across varied data structures.
- Demonstrated ability to anticipate and mitigate risks before they impact project timelines.
- Leadership experience in guiding cross‑disciplinary projects from concept to production.
Career Growth & Learning Opportunities
At careerzynith, your professional development is a priority. You will have access to:
- Continuous learning programs, including tuition reimbursement for advanced degrees and certifications.
- Mentorship from senior leaders in data science, AI research, and product strategy.
- Opportunities to work on high‑impact, cross‑industry projects that shape the future of health‑focused media.
- Internal hackathons, innovation labs, and speaker series that encourage creative problem‑solving.
- A clear career ladder from Senior Data Scientist to Principal Scientist, Director of Analytics, or Head of AI.
Work Environment & Culture
careerzynith offers a hybrid work model based in our vibrant California office. Employees are expected to be on‑site three days per week, fostering collaboration while maintaining flexibility. Our culture is built on:
- Inclusivity: A diverse workforce where every voice is heard and respected.
- Purpose‑Driven Impact: Knowing that your work directly contributes to improving health outcomes for millions.
- Innovation: Encouraging experimentation, rapid prototyping, and data‑first decision making.
- Wellbeing: Comprehensive health, dental, and vision plans, plus wellness programs and mental‑health resources.
Compensation, Perks & Benefits
We offer a competitive total rewards package that includes:
- Base salary ranging from $106,605 to $206,000 annually, commensurate with experience, education, and location.
- Performance‑based bonuses and equity participation through our Employee Stock Purchase Plan.
- Full‑coverage medical, dental, and vision insurance for employees and eligible dependents.
- 401(k) retirement savings plan with company match, plus financial planning resources.
- Generous paid time off (PTO), paid holidays, and additional leave for volunteering.
- Life insurance, short‑ and long‑term disability coverage, and a fully paid term‑life policy.
- Employee assistance programs, wellness challenges, and on‑site fitness facilities.
- Discounts at careerzynith retail locations, exclusive product offers, and a continuous discount program for partners.
- Access to free online learning platforms, certifications, and internal training workshops.
Application Process & Required Documents
To be considered for this role, please prepare the following documents:
- Official degree certificates and transcripts.
- Resume highlighting relevant experience and technical skills.
- Passport‑size photograph.
- Signature (digital or scanned).
Follow these steps to apply:
- Review the official job posting on the careerzynith careers portal.
- Complete the online application form.
- Upload the required documents and your photo with signature.
- Submit your application and await confirmation.
Commitment to Diversity & Inclusion
careerzynith is dedicated to building a workforce that reflects the communities we serve. We provide equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. Reasonable accommodations are available for applicants with disabilities throughout the recruitment process.
COVID‑19 Vaccination Policy
All new hires must be fully vaccinated against COVID‑19, unless a lawful exemption applies. Proof of vaccination must be provided prior to the first day of employment, or a reasonable accommodation request must be submitted within the first ten days of employment.
Ready to Make an Impact?
If you are passionate about leveraging data to drive meaningful health outcomes and thrive in a fast‑paced, collaborative environment, we want to hear from you. Join careerzynith and help shape the future of health‑focused media while advancing your career in data science.
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