Principal Data Scientist (Tech/Media/Entertainment)

Description

The company is a strategic AI partner to Fortune 500 companies, and the team is part of its Artificial Intelligence Client Services (AICS) Practice within Technology, Media and Entertainment.

The work centres on data-driven decisions for marketing and product leaders, including marketing effectiveness, return on investment, experimental design, measurement strategy, consumer behaviour, product design and marketing channel effectiveness.

You will lead the AICS strategy for the Technology, Media and Entertainment Practice and help build a strong analytics team.

Responsibilities

• Design and build AI agent solutions for client needs by meeting clients regularly to understand their business problems.
• Propose creative solutions to business problems, and recommend and develop advanced data-driven analyses using statistical and analytical methods.
• Lead client engagement managers and guide them through end-to-end engagements.
• Build deep client relationships and act as a thought partner, anticipating business problems and delivering to a high standard.
• Manage several consulting and analytics engagements with a team, including staffing, utilisation and quality assurance.
• Review client deliverables before they are shared, so clients can confirm the approach, insights and results.
• Set standard metrics and KPIs for clients and create processes to track them.
• Present findings and deliverables that meet business requirements, and give high-level consulting and thought leadership to business heads.
• Spend about 15% of your time leading engagements independently, including regular client updates, stakeholder management, risk analysis and tracking success metrics.
• Spend about 10% of your time on model development, hypothesis testing and experiments, and identifying and mitigating risks.
• Spend about 10% of your time supporting proposals, pitches and RFPs, and helping grow the client base alongside the client partner.
• Spend about 10% of your time building your own profile and the company's profile as a thought leader through papers, blogs and industry talks.
• Spend about 10% of your time on training sessions and other activities that help the company attract and keep talent.
• Spend about 5% of your time on analytics consulting across industries, and about 5% on translating client problems into data-driven solutions and communicating their value to business leaders.

Requirements

• 10+ years of relevant data science or analytics experience, with a bachelor's or master's degree in engineering, business, economics, statistics or an equivalent field.
• 4+ years of experience in the Technology, Media and Entertainment domain.
• Strong marketing and customer analytics skills, logical thinking and clear thinking.
• Clear communication and the ability to present to senior leaders and executives.
• Innovative thinking, and the ability to inspire others to act on new ideas.
• Strong interpersonal skills, a team player mindset and a flexible, can-do attitude.
• Working knowledge of global business fundamentals, business models, ethics, competitive analysis and cross-cultural and geographic sensitivities.

Conditions

This role is not eligible for immigration sponsorship at this time.

The estimated starting salary is around $235,000, and the posted range is not adjusted for the geographic differential of the location where the role is filled.

Pay depends on skills, experience, training, licences and certifications, and business needs, and hires are rarely made near the top of the range.

You may be eligible for a discretionary bonus for the current performance period.

Benefits

• Full-time employees, and hourly employees working more than 30 hours per week, can join the health, dental, vision, life insurance and disability plans from the first day, under the plan documents.
• You can join the company 401(k) plan after 30 days of employment, under the plan terms.
• You get 11 paid holidays and 12 weeks of parental leave.
• You get a free-time PTO policy that covers both sick time and vacation.