Data Science-Consultant
- Deloitte Consulting
- 3 - 6 years
- Hyderabad
- 6 days ago
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Job Description
Data Scientist
Are you innovative, a quick-thinker, and eager to learn more about whats happening in the industry? Are your user experience design skills amongst the best, and you have a knack for making the most complex things clear? Then this role is for you.
Customer & Marketing is creating a new model for the new agewere a digital consulting agency. We bring together creative and technology capabilities, business acumen, and industry insights, and help our clients bring a new business vision to life.
Work Youll Do
- Practitioners will integrate and learn from talented colleagues who have focused on core domains that we may not have had visibility into.
- Our move towards integrated solutions demands that everyone adopt a growth mindset and invest in expanding their understanding of what we bring to the marketplace.
- Practitioners will be able to develop skills in a Portfolio that represents the unification of the some of the most diverse, globally recognized brands and businesses in the organizationan exciting opportunity for their career development.
- Must have excellent communication and interpersonal skills.
- Job Location HYD/BLR
The Team
The Customer & Marketing Offering Portfolio integrates our most differentiated, globally recognized customer and marketing businesses. It focuses on owning the commercial agenda through growth strategy, enhanced user experiences, and engagement through the entire customer lifecycle. From our core strengths in creative design, to strategy, platforms and solutions, as well as our continued growth through acquisitions, we are specifically positioned to bring fully integrated solutions to our clients.
We are all consumers and personal marketers. This reality is what makes the Customer & Marketing Offering Portfolio so exciting. What we deliver in the market each and every day directly impacts who we are as customers. We are able to deliver on outcomes for the very products and services that we have the privilege of engaging with ourselves.
Our Advertising, Marketing & Commerce team focuses on delivering marketing and growth objectives aligned with our clients brand values for measurable business growth. We do this by creating content, communications, and experiences that engage and inspire their customers to act. We implement and operate the technology platforms that enable personalized content, commerce and marketing user-centric experiences. In doing so, we transform our clients marketing and engagement operations into modern, data-driven, creatively focused organizations. Our team brings deep experience in creative and digital marketing capabilities, many from our Digital Studios.
We serve our clients through the following types of work:
- Cross-channel customer engagement strategy, design and development (web, mobile, social, physical)
- eCommerce strategy, implementation and operations
- Marketing Content and digital asset management solutions
- Marketing Technology and Advertising Technology solutions
- Marketing analytics implementation and operations
- Advertising campaign ideation, development and execution
- Acquisition and engagement campaign ideation, development and execution
- Agile based, design-thinking, user-centric, empirical projects that accelerate results.
Qualifications and Experience
Required:
- Should have at least 3 years of industry experience outside of academia.
- Gather and analyze business requirements and transform it into a specific data science problem.
- Interpret and analyze data problems within the organization.
- Develop custom data models and algorithms.
- Collaborate with different functional teams to implement models and monitor outcomes.
- Proficient in statistical analysis, quantitative analytics, forecasting/predictive analytics, clustering, multivariate testing, regression and optimization algorithms.
- Understanding of probability distributions and statistical inference.
- Should have strong knowledge on DSA concepts, specifically for Python.
- Good Experience with recommendation techniques, like collaborative filtering, content- based filtering and cosine similarities
- Develop tools, techniques, and theories to facilitate ongoing research activities of an organization.
- Use predictive and prescriptive analytics tools to forecast what might happen using probabilities and confidence levels.
- Maintain latest knowledge of existing and emerging scientific principles/theories/techniques and applies them to identify and develop innovative solutions, products, and projects.
- Authoritative experience in the field of Data Science to influence stake holders across varied work streams and geographical locations, ability to challenge the status quo to improve the base line models and the models which are already productionized. Experience in implementing machine learning models: Forecasting, Classification, Regression, Clustering, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms.
- Hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform.
- Familiarity of data architecture requirements and conceptual approaches for deploying algorithmic solutions in Big Data productive environments.
- Worked with at least one mainstream machine learning frameworks, including caffe, convNet, Tensor Flow, Torch
- Experience in implementing computer vision algorithms using frameworks like OpenCV.
- Familiarity with techniques such as image recognition, object detection, and semantic segmentation.
- Working proficiency with SQL and relational databases, data warehouse
- Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments.
- Should have experience in handling large datasets, analyze, report actionable insights, and develop interactive dashboards using at least one of PowerBI / Tableau / Qlikview / RShiny/ Plotly/ Dash etc.
- Should have minimum 1-2 years of working experience in SQL, PySpark and Python. Good to have Scala, SparkR, SparkSQL.
- Should have experience or deep understanding of implementing Gen -AI frameworks like GPT, BERT, VAEs GANs, etc.
- Experience with Generative Adversarial Networks (GANs), Autoencoders, and other generative models.
- Understanding of the creation and manipulation of synthetic data.
- Familiarity with generative AI applications such as text generation, image synthesis, and content creation.
- Demonstrable ability to use generative AI to solve complex problems and generate new, creative solutions.
- Understanding of the ethical considerations and potential impacts of using generative AI, such as data privacy and the potential for misuse.
- Experience with generative AI frameworks and libraries, such as TensorFlow, PyTorch, or Generative Pre-trained Transformer (GPT).
- Ability to effectively communicate and explain the workings and implications of generative AI models to non-technical team members and stakeholders.
- Should have good hands-on experience working in Any cloud, AWS, Azure, GCP.
How youll grow
At Deloitte, weve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunitiesincluding exposure to leaders, sponsors, coaches, and challenging assignmentsto help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the DU in Westlake, Texas, and represents a tangible symbol of our commitment to our peoples growth and development. Explore DU: The Leadership Center in India
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Deloittes culture
Our positive and supportive culture encourages our people to do their best every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer comprehensive well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead happy lives. Learn more about Life at Deloitte.
Corporate citizenship
Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships that we have with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloittes impact on the world.
Job Classification
Industry: Management ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: Deloitte ConsultingLocation(s): Hyderabad
Keyskills: Pyspark Data Science SQL
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