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Forecasting and Analytics Expert
2 months ago
Join a dynamic team at Apple, where innovative ideas transform into exceptional products and services. We are seeking a skilled Applied Scientist who is passionate about analytical solutions that deliver significant value to both Apple and its customers. As supply chain complexities grow, we face unique challenges that require advanced analytical techniques. You will collaborate with a team of experts dedicated to creating sophisticated analytics models for informed decision-making.
Responsibilities
* Analyze key performance indicators and metrics to identify operational challenges and drive enhancements. Proven experience in crafting comprehensive analytical solutions.
* Demonstrated expertise in developing and presenting forecasting models.
* Strong understanding of factors influencing forecast accuracy and the ability to build trust with stakeholders.
* Practical experience in addressing real-world challenges and a solid grasp of predictive modeling techniques, including classification, regression, clustering, and anomaly detection.
* A natural curiosity and proactive approach to identifying, defining, and executing project plans, along with developing suitable modeling strategies.
* Ability to work independently and excel in an environment characterized by autonomy and ambiguity. Strong analytical and problem-solving skills.
* Excellent communication skills, capable of conveying complex domain and technical information to various audiences.
* A collaborative team player, committed to the collective success of the team and project outcomes.
* Proficient in data acquisition tools (e.g., SQL), data mining, and data visualization. Familiarity with big data technologies such as Hadoop, Spark, and Hive. Strong foundation in machine learning libraries and frameworks like Scikit Learn, TensorFlow, and PyTorch.
* Knowledge of optimization algorithms and tools (Gurobi/Cplex/Xpress) is advantageous.
* Experience in prototyping, developing software, and implementing data science pipelines and applications using programming languages (Python/Java/C++).
Key Qualifications
- Collaborate with business teams to identify opportunities, comprehend requirements, translate them into technical solutions, and lead essential projects.
- Design data science methodologies, employing established techniques or creating custom algorithms tailored to business challenges.
- Work alongside data engineers and infrastructure partners to develop robust solutions and operationalize models, adapting to evolving business needs with agility.
- Effectively communicate analysis results and model outcomes to partners and senior leadership.
- Investigate new technologies and methodologies in data science, data engineering, and data visualization to enhance the team's technical capabilities.
PhD in Computer Science, Statistics, Applied Mathematics, or a related discipline with over 5 years of industry experience, or a Master's degree in a related field with 7+ years of hands-on industry experience. Experience in building and deploying forecasting models in production environments is highly preferred.
Additional Information
Compensation & Benefits
- At Apple, base pay is one component of our total compensation package, determined within a range that allows for growth and development in your role. The base pay range for this position is between $175,800 and $264,200, depending on skills, qualifications, experience, and location.
Apple employees can also participate in discretionary employee stock programs, including restricted stock unit awards and discounted stock purchases through the Employee Stock Purchase Plan. Benefits include comprehensive medical and dental coverage, retirement plans, discounts on products and services, and reimbursement for educational expenses related to career advancement. This role may also be eligible for discretionary bonuses or commission payments.
Note: Apple’s benefits, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
- Apple is an equal opportunity employer committed to fostering inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
