Data Scientist - Translator

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Intel, we are innovating the future. We create world-changing technology that enables global progress and enriches the lives of every person on earth. Today, we stand at the brink of several technology disruptions – driven by four key “superpowers”: cloud, mobility fueled by 5G, artificial intelligence (AI) & machine learning, and the intelligent edge. Intel is at the heart of these disruptions defining the art of the possible. The Corporate Strategy Office (CSO) at Intel defines, develops, and leads the implementation of new strategies to harness the power of industry-shaping disruptions and to transform Intel into a datacentric company.

The Corporate Strategy Data Science and Strategy Analytics function within CSO plays a critical role in developing the ground truth market models and insights upon which corporate strategy is developed. In deep partnership with other market analysis centers of excellence within the company, we ask and answer the critical market questions that inform our strategic choices. We are building a world-class analytics practice with both top and bottom-line impacts.

We are looking for a Data Scientist/Translator who can contribute to the development of forecasts, models, and analytics. You will keep one foot solidly planted in the data science/engineering activities of the organization while also interfacing with constituents and coordinating activities at the intersection of model development and business strategy.

In this role, you will:

• Build econometric models and forecasts from both third party and primary research/data sets
• Contribute to the structure, organization, and coordination of the delivery of analytics and models.
• Collaborate with team members on the data science underpinning forecast and insights platforms.
• Partner with other centers within the company to elevate the visibility and impact of market modeling and insights work.
• As needed, contribute to important strategy projects resulting in actionable recommendations.

The ideal candidate will also have the following skills:

• Hypothesis-driven, problem-solving orientation with skills to leverage both quantitative and qualitative analyses to drive decision making.
• Communication skills (written and verbal), including the development of novel visuals and infographics
• Skills in peer influencing, indirect leadership, and cross-group collaboration skills including demonstrated impact in communicating complex information to executive leadership in a manner that leads to strategic action.
• Experience working with geographical diverse teams.
• Results driven and accountability for broad leadership, building of followership and role modeling of Intel's cultural attributes of:
• Customer obsessed - seek to understand what matters most to our customers, listening more and talking less.
• One Intel - we before me. We work across boundaries, collaborating across the aisle and around the world.
• Fearless - We are bold. We take risks and challenge ourselves. We fail fast, iterate and continuously improve.
• Truth and Transparency - allows the best ideas to emerge and speeds our ability to solve problems faster.
• Inclusion - Inclusion runs through each attribute and is integral to our culture evolution.

Qualifications

• You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. This position is not eligible for Intel immigration sponsorship.

Minimum qualifications:

• Master’s degree in data science related field.

3+ years of experience in the following:

• Building econometric models and forecasts and translating analytics to actions, preferably at a top tier consulting and/or market analytics firm including the novel use of models, algorithms, and statistics.
• Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
• Relevant programming languages and platforms (i.e. Python, R, JavaScript, Jupyter, GitLab).

Preferred qualifications:

• Dashboarding experience (i.e. Power BI, Tableau, Plotly-Dash).
• Experience applying machine learning techniques and simulation to business and strategy questions (clustering, decision tree learning, artificial neural networks, etc.).
• Expertise in some aspect(s) of the semiconductor industry from manufacturing through foundry services, architecture, and design/engineering.