data science manager (athens)

As part of Artificial Intelligence practice, you will combine AI & ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a global team of data scientists, data engineers, and experts in AI & ML, who are highly collaborative taking on today’s biggest, most complex business challenges across a range of industries.

Responsibilities:

• Understand and shape client requirements; translate them into actions that will be used to drive Data Science components, design and configuration (data model, advanced analytics, consumption/visualization)

• Accountable for the design, development and delivery of Data Science & ML solutions, working with data science, engineering and operations teams

• Lead a team of 5-8 people, working in a multicultural environment with fixed deadlines and changing priorities

• Contribute to internal R&D and business development activities through AI & ML expertise

• Provide thought leadership, best practices, and standards on advanced analytics & ML techniques

• Drive understanding and decision making from data through the intersection of business, analytics, and design.

• Act as Project Lead in client Scrums and lead the delivery of Data Science projects in Marketing, Customer & Sales Analytics.

• Present and create appropriate documentation to communicate with and educate stakeholders.

• Influence & inspire the team with the technical expertise on Data Science & Cloud solutions and the soft skills required for stakeholder management, setting the correct expectations

• Create project plans, including resourcing & expenses. Ability to turn quickly the brilliant ideas into plan with clear actions and expectations

Qualification

WHO WE’RE LOOKING FOR?

• BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University

• Minimum of 7+ years of proven working experience in Data Science & ML areas, leading a team of 5-8 people

• Solid theoretical and hands-on knowledge of Econometrics, Statistics, Data Mining, Machine Learning & AI concepts

• Exceptional programming skills in Data Science scripting: Python / R / Scala / Julia); knowledge of Java and/or C/C++ would be considered a plus

• Experience with Cloud Technologies (MS Azure, GCP, AWS)

• Understanding of ML lifecycle and hands-on experience with ML Ops

• Working under an Agile Framework with CICD principles

• Exceptional analytical and critical thinking skills with demonstrated ability to think strategically; turn data into effective strategies and drive results

• Ability to communicate results effectively and explain technical methodologies in non-technical audience

• Ability to work as a team player in multinational project teams

• Fluency in English (verbal and written)

• All male candidates should have fulfilled their military obligations

• Considered a plus (not a prerequisite):

• Familiarity with Deep Learning concepts & tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.)

• Experience in SQL and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)

• Visualization tools (Power BI, Tableau)

• Experience in international markets and familiarity with FMCG, Retail or Energy/ Recourses/ Utilities etc. industries

WHAT´S IN IT FOR YOU?

• Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts

• Continuous hard and soft skills training & development through global platforms & local academy

• Career coaching and mentorship to help you manage your career and develop professionally

• Ongoing strengths and skills based evaluation process

• Various opportunities to develop your career across a spectrum of clients, industries and projects

• Diverse and inclusive culture

• Corporate citizenship initiatives (access to volunteering opportunities, charity work ec.)

• Under our Brain Regain initiative, extra relocation benefits may apply